var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"https://bibbase.org/zotero-mypublications/apolea\",\"jsonp\":\"1\",\"host\":\"bibbase.org\",\"ssl\":false},\n      data: [{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"University of Oxford, Oxford, United Kingdom\",\"title\":\"Automated, User-independent Correction of Artifacts in Fluorescence Correlation Spectroscopy Measurements using Convolutional Neural Networks\",\"copyright\":\"Creative Commons Attribution 4.0 International Licence (CC-BY)\",\"url\":\"https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/\",\"abstract\":\"Fluorescence correlation spectroscopy (FCS) is a well-established tool for studying molecular dynamics. Unfortunately, the single-molecule sensitivity and high dynamic resolution of FCS comes with the cost of a variety of hardware- and sample-related artifacts, such as photobleaching, contamination from additional slow moving particles, or sudden drops in intensity because of detector anomalies 1. These artifacts distort the measured fluorescence traces, as well as the analysis by auto-correlation, and render them useless. In practice, these corrupted traces are often filtered by hand. Here, we show that a variety of commonly seen artifacts can be corrected by automatic cropping of fluorescence traces through using convolutional neural networks (CNNs). The models were trained on data generated using an established FCS trace simulation algorithm based on 2- dimensional stochastic Brownian motion2. Next, the models were validated on experimental data. Finally, we performed a statistical comparison between the auto-correlation results of the traces corrected by our system and the auto-correlation results of a set of non-corrupted traces. Our approach offers a reproducible, user-independent solution on how to handle FCS measurements distorted by different artifacts without having to discard the whole trace.\",\"language\":\"en\",\"urldate\":\"2023-07-18\",\"publisher\":\"Quantitative BioImaging Society\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Seltmann\"],\"firstnames\":[\"Alva\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Eggeling\"],\"firstnames\":[\"Christian\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Waithe\"],\"firstnames\":[\"Dominic\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2020\",\"bibtex\":\"@inproceedings{seltmann_automated_2020,\\n\\taddress = {University of Oxford, Oxford, United Kingdom},\\n\\ttitle = {Automated, {User}-independent {Correction} of {Artifacts} in {Fluorescence} {Correlation} {Spectroscopy} {Measurements} using {Convolutional} {Neural} {Networks}},\\n\\tcopyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},\\n\\turl = {https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/},\\n\\tabstract = {Fluorescence correlation spectroscopy (FCS) is a well-established tool for\\nstudying molecular dynamics. Unfortunately, the single-molecule sensitivity\\nand high dynamic resolution of FCS comes with the cost of a variety of\\nhardware- and sample-related artifacts, such as photobleaching,\\ncontamination from additional slow moving particles, or sudden drops in\\nintensity because of detector anomalies 1. These artifacts distort the\\nmeasured fluorescence traces, as well as the analysis by auto-correlation,\\nand render them useless. In practice, these corrupted traces are often\\nfiltered by hand. Here, we show that a variety of commonly seen artifacts\\ncan be corrected by automatic cropping of fluorescence traces through using\\nconvolutional neural networks (CNNs). The models were trained on data\\ngenerated using an established FCS trace simulation algorithm based on 2-\\ndimensional stochastic Brownian motion2. Next, the models were validated\\non experimental data. Finally, we performed a statistical comparison\\nbetween the auto-correlation results of the traces corrected by our system\\nand the auto-correlation results of a set of non-corrupted traces. Our\\napproach offers a reproducible, user-independent solution on how to handle\\nFCS measurements distorted by different artifacts without having to discard\\nthe whole trace.},\\n\\tlanguage = {en},\\n\\turldate = {2023-07-18},\\n\\tpublisher = {Quantitative BioImaging Society},\\n\\tauthor = {Seltmann, Alva and Eggeling, Christian and Waithe, Dominic},\\n\\tmonth = jan,\\n\\tyear = {2020},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Seltmann, A.\",\"Eggeling, C.\",\"Waithe, D.\"],\"key\":\"seltmann_automated_2020\",\"id\":\"seltmann_automated_2020\",\"bibbaseid\":\"seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/\"},\"metadata\":{\"authorlinks\":{\"seltmann, a\":\"https://aseltmann.github.io/docs/publications/\"}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Sozioökonomische Benachteiligung als Risikofaktor für Krebserkrankungen – „closing the care gap“\",\"volume\":\"37\",\"copyright\":\"All rights reserved\",\"issn\":\"2190-9784\",\"url\":\"https://doi.org/10.1007/s12312-022-01113-4\",\"doi\":\"10.1007/s12312-022-01113-4\",\"abstract\":\"Armut ist ein Risikofaktor für Krebs. Menschen aus sozioökonomisch benachteiligten Gesellschaftsschichten erkranken häufiger und früher an Krebs, haben nach Diagnosestellung oftmals eine kürzere Lebenserwartung und profitieren hinsichtlich des Gesamtüberlebens weniger von der Therapie. Diese Beobachtung hat sich im Zuge der COVID-19-Pandemie weiter verschärft. Im vorliegenden Beitrag stellen wir zusammengefasst Ergebnisse für Deutschland dar, die diesen Zusammenhang illustrieren. Methodisch greifen wir dazu auf Erkenntnisse zurück, die sich auf individuelle Marker wie das individuelle Einkommen oder auf regionale Indizes sozialer Deprivation wie den German Index of Multiple Deprivation (GIMD) konzentrieren. Das Konzept der Klassenmedizin hinterfragt strukturelle Bedingungen, die dazu führen, dass das Versorgungssystem und die Behandler*innen selbst bestehende Unterschiede weiter fördern, anstatt diese auszugleichen. Faktoren der Ungleichheit in der Versorgung von Menschen gerade mit onkologischen Erkrankungen, seien sie sozioökonomischer, geschlechtsspezifischer oder ethnischer Art, müssen besser erfasst werden, um eine gerechte und gleichwertige Behandlung aller Menschen zu gewährleisten.\",\"language\":\"de\",\"number\":\"5\",\"urldate\":\"2022-11-07\",\"journal\":\"Forum\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Berger\"],\"firstnames\":[\"Johannes\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Engelhardt\"],\"firstnames\":[\"Monika\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Möller\"],\"firstnames\":[\"Mandy-Deborah\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Radeloff\"],\"firstnames\":[\"Katrin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Seltmann\"],\"firstnames\":[\"Alva\"],\"suffixes\":[]},{\"propositions\":[\"von\"],\"lastnames\":[\"Lilienfeld-Toal\"],\"firstnames\":[\"Marie\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2022\",\"pages\":\"382–386\",\"bibtex\":\"@article{berger_soziookonomische_2022,\\n\\ttitle = {Sozioökonomische {Benachteiligung} als {Risikofaktor} für {Krebserkrankungen} – „closing the care gap“},\\n\\tvolume = {37},\\n\\tcopyright = {All rights reserved},\\n\\tissn = {2190-9784},\\n\\turl = {https://doi.org/10.1007/s12312-022-01113-4},\\n\\tdoi = {10.1007/s12312-022-01113-4},\\n\\tabstract = {Armut ist ein Risikofaktor für Krebs. Menschen aus sozioökonomisch benachteiligten Gesellschaftsschichten erkranken häufiger und früher an Krebs, haben nach Diagnosestellung oftmals eine kürzere Lebenserwartung und profitieren hinsichtlich des Gesamtüberlebens weniger von der Therapie. Diese Beobachtung hat sich im Zuge der COVID-19-Pandemie weiter verschärft. Im vorliegenden Beitrag stellen wir zusammengefasst Ergebnisse für Deutschland dar, die diesen Zusammenhang illustrieren. Methodisch greifen wir dazu auf Erkenntnisse zurück, die sich auf individuelle Marker wie das individuelle Einkommen oder auf regionale Indizes sozialer Deprivation wie den German Index of Multiple Deprivation (GIMD) konzentrieren. Das Konzept der Klassenmedizin hinterfragt strukturelle Bedingungen, die dazu führen, dass das Versorgungssystem und die Behandler*innen selbst bestehende Unterschiede weiter fördern, anstatt diese auszugleichen. Faktoren der Ungleichheit in der Versorgung von Menschen gerade mit onkologischen Erkrankungen, seien sie sozioökonomischer, geschlechtsspezifischer oder ethnischer Art, müssen besser erfasst werden, um eine gerechte und gleichwertige Behandlung aller Menschen zu gewährleisten.},\\n\\tlanguage = {de},\\n\\tnumber = {5},\\n\\turldate = {2022-11-07},\\n\\tjournal = {Forum},\\n\\tauthor = {Berger, Johannes and Engelhardt, Monika and Möller, Mandy-Deborah and Radeloff, Katrin and Seltmann, Alva and von Lilienfeld-Toal, Marie},\\n\\tmonth = oct,\\n\\tyear = {2022},\\n\\tpages = {382--386},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Berger, J.\",\"Engelhardt, M.\",\"Möller, M.\",\"Radeloff, K.\",\"Seltmann, A.\",\"von Lilienfeld-Toal, M.\"],\"key\":\"berger_soziookonomische_2022\",\"id\":\"berger_soziookonomische_2022\",\"bibbaseid\":\"berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1007/s12312-022-01113-4\"},\"metadata\":{\"authorlinks\":{\"seltmann, a\":\"https://aseltmann.github.io/docs/publications/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Chalmers University of Technology, Gothenburg, Sweden\",\"title\":\"A new paradigm for fluorescence trace manipulation to reduce artifacts in FCS measurements\",\"copyright\":\"Creative Commons Attribution 4.0 International Licence (CC-BY)\",\"abstract\":\"Fluorescence correlation spectroscopy (FCS) is a powerful technique to study molecular dynamics on the nanoscale, yet the experimental setup is prone to different artefacts. Therefore, the typical FCS analysis pipeline involves careful inspection of the autocorrelation function and the underlying fluorescence trace. If users detect severe intensity shifts due to e.g. photobleaching, detector dropout, or bright peaks, FCS guidelines commonly advise discarding these traces1,2. Here, we show a new approach to post-process fluorescence traces to reduce these artefacts and enable a meaningful FCS analysis. Established photon filtering methods work by giving artifactual photons lower weights3. We propose to remove the artifactual photons and shift the arrival times of the remaining photons as if the artifactual photons never arrived. We evaluate this \\\"cut and shift\\\" method on simulated fluorescence traces and experimental FCS data showing severe peak artefacts. It is applicable to FCS data consisting of binned count rates, as well as photon arrival times (TCSPC data). We characterize the limits of this approach, which depends on the length of measurement, the molecule speed, and the temporal resolution. Lastly, we show that combining this approach with neural network-based artefact prediction enables FCS users to automate peak artefact removal. In conclusion, optimizing FCS traces using the \\\"cut and shift\\\" approach makes previously discardable/useless FCS measurements possible. Therefore, it is a valuable extension for every FCS user's toolbox.\",\"language\":\"en\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Seltmann\"],\"firstnames\":[\"Alva\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Carravilla\"],\"firstnames\":[\"Pablo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Reglinski\"],\"firstnames\":[\"Katharina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Eggeling\"],\"firstnames\":[\"Christian\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Waithe\"],\"firstnames\":[\"Dominic\"],\"suffixes\":[]}],\"month\":\"September\",\"year\":\"2022\",\"bibtex\":\"@inproceedings{seltmann_new_2022,\\n\\taddress = {Chalmers University of Technology, Gothenburg, Sweden},\\n\\ttitle = {A new paradigm for fluorescence trace manipulation to reduce artifacts in {FCS} measurements},\\n\\tcopyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},\\n\\tabstract = {Fluorescence correlation spectroscopy (FCS) is a powerful technique to study molecular dynamics on the nanoscale, yet the experimental setup is prone to different artefacts. Therefore, the typical FCS analysis pipeline involves careful inspection of the autocorrelation function and the underlying fluorescence trace. If users detect severe intensity shifts due to e.g. photobleaching, detector dropout, or bright peaks, FCS guidelines commonly advise discarding these traces1,2. Here, we show a new approach to post-process fluorescence traces to reduce these artefacts and enable a meaningful FCS analysis. Established photon filtering methods work by giving artifactual photons lower weights3. We propose to remove the artifactual photons and shift the arrival times of the remaining photons as if the artifactual photons never arrived. We evaluate this \\\"cut and shift\\\" method on simulated fluorescence traces and experimental FCS data showing severe peak artefacts. It is applicable to FCS data consisting of binned count rates, as well as photon arrival times (TCSPC data). We characterize the limits of this approach, which depends on the length of measurement, the molecule speed, and the temporal resolution. Lastly, we show that combining this approach with neural network-based artefact prediction enables FCS users to automate peak artefact removal. In conclusion, optimizing FCS traces using the \\\"cut and shift\\\" approach makes previously discardable/useless FCS measurements possible. Therefore, it is a valuable extension for every FCS user's toolbox.},\\n\\tlanguage = {en},\\n\\tauthor = {Seltmann, Alva and Carravilla, Pablo and Reglinski, Katharina and Eggeling, Christian and Waithe, Dominic},\\n\\tmonth = sep,\\n\\tyear = {2022},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Seltmann, A.\",\"Carravilla, P.\",\"Reglinski, K.\",\"Eggeling, C.\",\"Waithe, D.\"],\"key\":\"seltmann_new_2022\",\"id\":\"seltmann_new_2022\",\"bibbaseid\":\"seltmann-carravilla-reglinski-eggeling-waithe-anewparadigmforfluorescencetracemanipulationtoreduceartifactsinfcsmeasurements-2022\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"seltmann, a\":\"https://aseltmann.github.io/docs/publications/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Sex-disaggregated analysis of central venous catheter-related bloodstream infections in patients with cancer\",\"copyright\":\"https://creativecommons.org/licenses/by/4.0/\",\"issn\":\"2296-5270, 2296-5262\",\"url\":\"https://karger.com/doi/10.1159/000542535\",\"doi\":\"10.1159/000542535\",\"abstract\":\"Introduction: Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used to administer systemic treatment in patients with cancer, are an important source of infection. However, little is known about sex-specific differences of CVC-related bloodstream infections (CRBSIs) in patients with cancer. This study aimed to compare CRBSIs in men vs. women in a large cohort of patients with cancer. Methods: Data were derived from the SECRECY registry including non-selected patients with centrally inserted non-tunneled internal jugular or subclavian vein CVCs in 10 hematology and oncology sites in Germany. Only CRBSIs classified as definite CRBSI (dCRBSI) or probable CRBSI were included, and the combination of both was summarized as dpCRBSI. CVCs were matched 1:1 for underlying disease, anatomic site of CVC insertion, type of CVC dressing, antimicrobial coated CVC, complicated CVC insertion and CVC in situ time by propensity score matching (PSM). Endpoints were CRBSI rates and incidences in CVCs inserted in men vs. women. Results: A total of 5075 CVCs registered from March 2013 to March 2024 were included in the analysis, of which 3024 comprises the PSM cohort. 1512 (50.0%) CVCs were inserted in men. Underlying diseases mainly were hematological malignancies (96.4%). While there was no statistically significant difference between men and women in the dCRBSI rate (5.4% vs. 4.1%; p=0.12) and the dCRBSI incidence (3.8 vs. 2.9/1000 CVC days; p=0.11), the rate of dpCRBSI (9.9% vs. 6.7%; p=0.002) and the dpCRBSI incidence (7.0 vs. 4.7/1000 CVC days; p=0.002) were significantly higher in men vs. women. The proportion of coagulase-negative staphylococci as causative agent of both dCRBSI and dpCRBSI was higher in men than in women (58.8% vs. 41.2%; p=0.07, and 61.5% vs. 38.5%; p=0.002, respectively). A multivariable regression revealed neutropenia as an independent risk factor for dCRBSI and male sex as risk factor for dCRBSI and dpCRBSI. Conclusion: In patients with hematological malignancies, men have a higher risk of CRBSI than women. This finding may be attributed to the high number of jugular vein inserted CVCs which in men may be associated with higher rates of skin colonization than in women. Special preventive measures such as earlier removal of CVCs in men may be studied in future.\",\"language\":\"en\",\"urldate\":\"2024-11-28\",\"journal\":\"Oncology Research and Treatment\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Schalk\"],\"firstnames\":[\"Enrico\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Seltmann\"],\"firstnames\":[\"Alva\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Böll\"],\"firstnames\":[\"Boris\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Giesen\"],\"firstnames\":[\"Nicola\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Grans-Siebel\"],\"firstnames\":[\"Judit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kriege\"],\"firstnames\":[\"Oliver\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lanznaster\"],\"firstnames\":[\"Julia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Minti\"],\"firstnames\":[\"Antrea\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Naendrup\"],\"firstnames\":[\"Jan-Hendrik\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Neitz\"],\"firstnames\":[\"Julia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Panse\"],\"firstnames\":[\"Jens\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Schmidt-Hieber\"],\"firstnames\":[\"Martin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Seggewiss-Bernhardt\"],\"firstnames\":[\"Ruth\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Teschner\"],\"firstnames\":[\"Daniel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Weber\"],\"firstnames\":[\"Philipp\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wille\"],\"firstnames\":[\"Kai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Von\",\"Lilienfeld-Toal\"],\"firstnames\":[\"Marie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hentrich\"],\"firstnames\":[\"Marcus\"],\"suffixes\":[]}],\"month\":\"November\",\"year\":\"2024\",\"pages\":\"1–21\",\"bibtex\":\"@article{schalk_sex-disaggregated_2024,\\n\\ttitle = {Sex-disaggregated analysis of central venous catheter-related bloodstream infections in patients with cancer},\\n\\tcopyright = {https://creativecommons.org/licenses/by/4.0/},\\n\\tissn = {2296-5270, 2296-5262},\\n\\turl = {https://karger.com/doi/10.1159/000542535},\\n\\tdoi = {10.1159/000542535},\\n\\tabstract = {Introduction: Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used to administer systemic treatment in patients with cancer, are an important source of infection. However, little is known about sex-specific differences of CVC-related bloodstream infections (CRBSIs) in patients with cancer. This study aimed to compare CRBSIs in men vs. women in a large cohort of patients with cancer. Methods: Data were derived from the SECRECY registry including non-selected patients with centrally inserted non-tunneled internal jugular or subclavian vein CVCs in 10 hematology and oncology sites in Germany. Only CRBSIs classified as definite CRBSI (dCRBSI) or probable CRBSI were included, and the combination of both was summarized as dpCRBSI. CVCs were matched 1:1 for underlying disease, anatomic site of CVC insertion, type of CVC dressing, antimicrobial coated CVC, complicated CVC insertion and CVC in situ time by propensity score matching (PSM). Endpoints were CRBSI rates and incidences in CVCs inserted in men vs. women. Results: A total of 5075 CVCs registered from March 2013 to March 2024 were included in the analysis, of which 3024 comprises the PSM cohort. 1512 (50.0\\\\%) CVCs were inserted in men. Underlying diseases mainly were hematological malignancies (96.4\\\\%). While there was no statistically significant difference between men and women in the dCRBSI rate (5.4\\\\% vs. 4.1\\\\%; p=0.12) and the dCRBSI incidence (3.8 vs. 2.9/1000 CVC days; p=0.11), the rate of dpCRBSI (9.9\\\\% vs. 6.7\\\\%; p=0.002) and the dpCRBSI incidence (7.0 vs. 4.7/1000 CVC days; p=0.002) were significantly higher in men vs. women. The proportion of coagulase-negative staphylococci as causative agent of both dCRBSI and dpCRBSI was higher in men than in women (58.8\\\\% vs. 41.2\\\\%; p=0.07, and 61.5\\\\% vs. 38.5\\\\%; p=0.002, respectively). A multivariable regression revealed neutropenia as an independent risk factor for dCRBSI and male sex as risk factor for dCRBSI and dpCRBSI. Conclusion: In patients with hematological malignancies, men have a higher risk of CRBSI than women. This finding may be attributed to the high number of jugular vein inserted CVCs which in men may be associated with higher rates of skin colonization than in women. Special preventive measures such as earlier removal of CVCs in men may be studied in future.},\\n\\tlanguage = {en},\\n\\turldate = {2024-11-28},\\n\\tjournal = {Oncology Research and Treatment},\\n\\tauthor = {Schalk, Enrico and Seltmann, Alva and Böll, Boris and Giesen, Nicola and Grans-Siebel, Judit and Kriege, Oliver and Lanznaster, Julia and Minti, Antrea and Naendrup, Jan-Hendrik and Neitz, Julia and Panse, Jens and Schmidt-Hieber, Martin and Seggewiss-Bernhardt, Ruth and Teschner, Daniel and Weber, Philipp and Wille, Kai and Von Lilienfeld-Toal, Marie and Hentrich, Marcus},\\n\\tmonth = nov,\\n\\tyear = {2024},\\n\\tpages = {1--21},\\n}\\n\\n\\n\\n\\n\",\"author_short\":[\"Schalk, E.\",\"Seltmann, A.\",\"Böll, B.\",\"Giesen, N.\",\"Grans-Siebel, J.\",\"Kriege, O.\",\"Lanznaster, J.\",\"Minti, A.\",\"Naendrup, J.\",\"Neitz, J.\",\"Panse, J.\",\"Schmidt-Hieber, M.\",\"Seggewiss-Bernhardt, R.\",\"Teschner, D.\",\"Weber, P.\",\"Wille, K.\",\"Von Lilienfeld-Toal, M.\",\"Hentrich, M.\"],\"key\":\"schalk_sex-disaggregated_2024\",\"id\":\"schalk_sex-disaggregated_2024\",\"bibbaseid\":\"schalk-seltmann-bll-giesen-granssiebel-kriege-lanznaster-minti-etal-sexdisaggregatedanalysisofcentralvenouscatheterrelatedbloodstreaminfectionsinpatientswithcancer-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://karger.com/doi/10.1159/000542535\"},\"metadata\":{\"authorlinks\":{\"seltmann, a\":\"https://aseltmann.github.io/docs/publications/\"}},\"html\":\"\"}],\n      metadata: {\"owner\":\"seltmann, a\",\"authorlinks\":{\"seltmann, a\":\"https://aseltmann.github.io/docs/publications/\"}},\n      ownerID: \"qyqtvy3ttD8NYLpkZ\"\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; 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	address = {University of Oxford, Oxford, United Kingdom},
	title = {Automated, {User}-independent {Correction} of {Artifacts} in {Fluorescence} {Correlation} {Spectroscopy} {Measurements} using {Convolutional} {Neural} {Networks}},
	copyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},
	url = {https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/},
	abstract = {Fluorescence correlation spectroscopy (FCS) is a well-established tool for
studying molecular dynamics. Unfortunately, the single-molecule sensitivity
and high dynamic resolution of FCS comes with the cost of a variety of
hardware- and sample-related artifacts, such as photobleaching,
contamination from additional slow moving particles, or sudden drops in
intensity because of detector anomalies 1. These artifacts distort the
measured fluorescence traces, as well as the analysis by auto-correlation,
and render them useless. In practice, these corrupted traces are often
filtered by hand. Here, we show that a variety of commonly seen artifacts
can be corrected by automatic cropping of fluorescence traces through using
convolutional neural networks (CNNs). The models were trained on data
generated using an established FCS trace simulation algorithm based on 2-
dimensional stochastic Brownian motion2. Next, the models were validated
on experimental data. Finally, we performed a statistical comparison
between the auto-correlation results of the traces corrected by our system
and the auto-correlation results of a set of non-corrupted traces. Our
approach offers a reproducible, user-independent solution on how to handle
FCS measurements distorted by different artifacts without having to discard
the whole trace.},
	language = {en},
	urldate = {2023-07-18},
	publisher = {Quantitative BioImaging Society},
	author = {Seltmann, Alva and Eggeling, Christian and Waithe, Dominic},
	month = jan,
	year = {2020},
}





@article{berger_soziookonomische_2022,
	title = {Sozioökonomische {Benachteiligung} als {Risikofaktor} für {Krebserkrankungen} – „closing the care gap“},
	volume = {37},
	copyright = {All rights reserved},
	issn = {2190-9784},
	url = {https://doi.org/10.1007/s12312-022-01113-4},
	doi = {10.1007/s12312-022-01113-4},
	abstract = {Armut ist ein Risikofaktor für Krebs. Menschen aus sozioökonomisch benachteiligten Gesellschaftsschichten erkranken häufiger und früher an Krebs, haben nach Diagnosestellung oftmals eine kürzere Lebenserwartung und profitieren hinsichtlich des Gesamtüberlebens weniger von der Therapie. Diese Beobachtung hat sich im Zuge der COVID-19-Pandemie weiter verschärft. Im vorliegenden Beitrag stellen wir zusammengefasst Ergebnisse für Deutschland dar, die diesen Zusammenhang illustrieren. Methodisch greifen wir dazu auf Erkenntnisse zurück, die sich auf individuelle Marker wie das individuelle Einkommen oder auf regionale Indizes sozialer Deprivation wie den German Index of Multiple Deprivation (GIMD) konzentrieren. Das Konzept der Klassenmedizin hinterfragt strukturelle Bedingungen, die dazu führen, dass das Versorgungssystem und die Behandler*innen selbst bestehende Unterschiede weiter fördern, anstatt diese auszugleichen. Faktoren der Ungleichheit in der Versorgung von Menschen gerade mit onkologischen Erkrankungen, seien sie sozioökonomischer, geschlechtsspezifischer oder ethnischer Art, müssen besser erfasst werden, um eine gerechte und gleichwertige Behandlung aller Menschen zu gewährleisten.},
	language = {de},
	number = {5},
	urldate = {2022-11-07},
	journal = {Forum},
	author = {Berger, Johannes and Engelhardt, Monika and Möller, Mandy-Deborah and Radeloff, Katrin and Seltmann, Alva and von Lilienfeld-Toal, Marie},
	month = oct,
	year = {2022},
	pages = {382--386},
}





@inproceedings{seltmann_new_2022,
	address = {Chalmers University of Technology, Gothenburg, Sweden},
	title = {A new paradigm for fluorescence trace manipulation to reduce artifacts in {FCS} measurements},
	copyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},
	abstract = {Fluorescence correlation spectroscopy (FCS) is a powerful technique to study molecular dynamics on the nanoscale, yet the experimental setup is prone to different artefacts. Therefore, the typical FCS analysis pipeline involves careful inspection of the autocorrelation function and the underlying fluorescence trace. If users detect severe intensity shifts due to e.g. photobleaching, detector dropout, or bright peaks, FCS guidelines commonly advise discarding these traces1,2. Here, we show a new approach to post-process fluorescence traces to reduce these artefacts and enable a meaningful FCS analysis. Established photon filtering methods work by giving artifactual photons lower weights3. We propose to remove the artifactual photons and shift the arrival times of the remaining photons as if the artifactual photons never arrived. We evaluate this "cut and shift" method on simulated fluorescence traces and experimental FCS data showing severe peak artefacts. It is applicable to FCS data consisting of binned count rates, as well as photon arrival times (TCSPC data). We characterize the limits of this approach, which depends on the length of measurement, the molecule speed, and the temporal resolution. Lastly, we show that combining this approach with neural network-based artefact prediction enables FCS users to automate peak artefact removal. In conclusion, optimizing FCS traces using the "cut and shift" approach makes previously discardable/useless FCS measurements possible. Therefore, it is a valuable extension for every FCS user's toolbox.},
	language = {en},
	author = {Seltmann, Alva and Carravilla, Pablo and Reglinski, Katharina and Eggeling, Christian and Waithe, Dominic},
	month = sep,
	year = {2022},
}





@article{schalk_sex-disaggregated_2024,
	title = {Sex-disaggregated analysis of central venous catheter-related bloodstream infections in patients with cancer},
	copyright = {https://creativecommons.org/licenses/by/4.0/},
	issn = {2296-5270, 2296-5262},
	url = {https://karger.com/doi/10.1159/000542535},
	doi = {10.1159/000542535},
	abstract = {Introduction: Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used to administer systemic treatment in patients with cancer, are an important source of infection. However, little is known about sex-specific differences of CVC-related bloodstream infections (CRBSIs) in patients with cancer. This study aimed to compare CRBSIs in men vs. women in a large cohort of patients with cancer. Methods: Data were derived from the SECRECY registry including non-selected patients with centrally inserted non-tunneled internal jugular or subclavian vein CVCs in 10 hematology and oncology sites in Germany. Only CRBSIs classified as definite CRBSI (dCRBSI) or probable CRBSI were included, and the combination of both was summarized as dpCRBSI. CVCs were matched 1:1 for underlying disease, anatomic site of CVC insertion, type of CVC dressing, antimicrobial coated CVC, complicated CVC insertion and CVC in situ time by propensity score matching (PSM). Endpoints were CRBSI rates and incidences in CVCs inserted in men vs. women. Results: A total of 5075 CVCs registered from March 2013 to March 2024 were included in the analysis, of which 3024 comprises the PSM cohort. 1512 (50.0\%) CVCs were inserted in men. Underlying diseases mainly were hematological malignancies (96.4\%). While there was no statistically significant difference between men and women in the dCRBSI rate (5.4\% vs. 4.1\%; p=0.12) and the dCRBSI incidence (3.8 vs. 2.9/1000 CVC days; p=0.11), the rate of dpCRBSI (9.9\% vs. 6.7\%; p=0.002) and the dpCRBSI incidence (7.0 vs. 4.7/1000 CVC days; p=0.002) were significantly higher in men vs. women. The proportion of coagulase-negative staphylococci as causative agent of both dCRBSI and dpCRBSI was higher in men than in women (58.8\% vs. 41.2\%; p=0.07, and 61.5\% vs. 38.5\%; p=0.002, respectively). A multivariable regression revealed neutropenia as an independent risk factor for dCRBSI and male sex as risk factor for dCRBSI and dpCRBSI. Conclusion: In patients with hematological malignancies, men have a higher risk of CRBSI than women. This finding may be attributed to the high number of jugular vein inserted CVCs which in men may be associated with higher rates of skin colonization than in women. Special preventive measures such as earlier removal of CVCs in men may be studied in future.},
	language = {en},
	urldate = {2024-11-28},
	journal = {Oncology Research and Treatment},
	author = {Schalk, Enrico and Seltmann, Alva and Böll, Boris and Giesen, Nicola and Grans-Siebel, Judit and Kriege, Oliver and Lanznaster, Julia and Minti, Antrea and Naendrup, Jan-Hendrik and Neitz, Julia and Panse, Jens and Schmidt-Hieber, Martin and Seggewiss-Bernhardt, Ruth and Teschner, Daniel and Weber, Philipp and Wille, Kai and Von Lilienfeld-Toal, Marie and Hentrich, Marcus},
	month = nov,
	year = {2024},
	pages = {1--21},
}




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November 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://karger.com/doi/10.1159/000542535\"\n     onclick=\"log_download('schalk-seltmann-bll-giesen-granssiebel-kriege-lanznaster-minti-etal-sexdisaggregatedanalysisofcentralvenouscatheterrelatedbloodstreaminfectionsinpatientswithcancer-2024', 'https://karger.com/doi/10.1159/000542535', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Sex-disaggregated analysis of central venous catheter-related bloodstream infections in patients with cancer [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1159/000542535\"\n     onclick=\"log_download('schalk-seltmann-bll-giesen-granssiebel-kriege-lanznaster-minti-etal-sexdisaggregatedanalysisofcentralvenouscatheterrelatedbloodstreaminfectionsinpatientswithcancer-2024', 'http://doi.org/10.1159/000542535', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/schalk-seltmann-bll-giesen-granssiebel-kriege-lanznaster-minti-etal-sexdisaggregatedanalysisofcentralvenouscatheterrelatedbloodstreaminfectionsinpatientswithcancer-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('schalk-seltmann-bll-giesen-granssiebel-kriege-lanznaster-minti-etal-sexdisaggregatedanalysisofcentralvenouscatheterrelatedbloodstreaminfectionsinpatientswithcancer-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{schalk_sex-disaggregated_2024,\n\ttitle = {Sex-disaggregated analysis of central venous catheter-related bloodstream infections in patients with cancer},\n\tcopyright = {https://creativecommons.org/licenses/by/4.0/},\n\tissn = {2296-5270, 2296-5262},\n\turl = {https://karger.com/doi/10.1159/000542535},\n\tdoi = {10.1159/000542535},\n\tabstract = {Introduction: Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used to administer systemic treatment in patients with cancer, are an important source of infection. However, little is known about sex-specific differences of CVC-related bloodstream infections (CRBSIs) in patients with cancer. This study aimed to compare CRBSIs in men vs. women in a large cohort of patients with cancer. Methods: Data were derived from the SECRECY registry including non-selected patients with centrally inserted non-tunneled internal jugular or subclavian vein CVCs in 10 hematology and oncology sites in Germany. Only CRBSIs classified as definite CRBSI (dCRBSI) or probable CRBSI were included, and the combination of both was summarized as dpCRBSI. CVCs were matched 1:1 for underlying disease, anatomic site of CVC insertion, type of CVC dressing, antimicrobial coated CVC, complicated CVC insertion and CVC in situ time by propensity score matching (PSM). Endpoints were CRBSI rates and incidences in CVCs inserted in men vs. women. Results: A total of 5075 CVCs registered from March 2013 to March 2024 were included in the analysis, of which 3024 comprises the PSM cohort. 1512 (50.0\\%) CVCs were inserted in men. Underlying diseases mainly were hematological malignancies (96.4\\%). While there was no statistically significant difference between men and women in the dCRBSI rate (5.4\\% vs. 4.1\\%; p=0.12) and the dCRBSI incidence (3.8 vs. 2.9/1000 CVC days; p=0.11), the rate of dpCRBSI (9.9\\% vs. 6.7\\%; p=0.002) and the dpCRBSI incidence (7.0 vs. 4.7/1000 CVC days; p=0.002) were significantly higher in men vs. women. The proportion of coagulase-negative staphylococci as causative agent of both dCRBSI and dpCRBSI was higher in men than in women (58.8\\% vs. 41.2\\%; p=0.07, and 61.5\\% vs. 38.5\\%; p=0.002, respectively). A multivariable regression revealed neutropenia as an independent risk factor for dCRBSI and male sex as risk factor for dCRBSI and dpCRBSI. Conclusion: In patients with hematological malignancies, men have a higher risk of CRBSI than women. This finding may be attributed to the high number of jugular vein inserted CVCs which in men may be associated with higher rates of skin colonization than in women. Special preventive measures such as earlier removal of CVCs in men may be studied in future.},\n\tlanguage = {en},\n\turldate = {2024-11-28},\n\tjournal = {Oncology Research and Treatment},\n\tauthor = {Schalk, Enrico and Seltmann, Alva and Böll, Boris and Giesen, Nicola and Grans-Siebel, Judit and Kriege, Oliver and Lanznaster, Julia and Minti, Antrea and Naendrup, Jan-Hendrik and Neitz, Julia and Panse, Jens and Schmidt-Hieber, Martin and Seggewiss-Bernhardt, Ruth and Teschner, Daniel and Weber, Philipp and Wille, Kai and Von Lilienfeld-Toal, Marie and Hentrich, Marcus},\n\tmonth = nov,\n\tyear = {2024},\n\tpages = {1--21},\n}\n\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Introduction: Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used to administer systemic treatment in patients with cancer, are an important source of infection. However, little is known about sex-specific differences of CVC-related bloodstream infections (CRBSIs) in patients with cancer. This study aimed to compare CRBSIs in men vs. women in a large cohort of patients with cancer. Methods: Data were derived from the SECRECY registry including non-selected patients with centrally inserted non-tunneled internal jugular or subclavian vein CVCs in 10 hematology and oncology sites in Germany. Only CRBSIs classified as definite CRBSI (dCRBSI) or probable CRBSI were included, and the combination of both was summarized as dpCRBSI. CVCs were matched 1:1 for underlying disease, anatomic site of CVC insertion, type of CVC dressing, antimicrobial coated CVC, complicated CVC insertion and CVC in situ time by propensity score matching (PSM). Endpoints were CRBSI rates and incidences in CVCs inserted in men vs. women. Results: A total of 5075 CVCs registered from March 2013 to March 2024 were included in the analysis, of which 3024 comprises the PSM cohort. 1512 (50.0%) CVCs were inserted in men. Underlying diseases mainly were hematological malignancies (96.4%). While there was no statistically significant difference between men and women in the dCRBSI rate (5.4% vs. 4.1%; p=0.12) and the dCRBSI incidence (3.8 vs. 2.9/1000 CVC days; p=0.11), the rate of dpCRBSI (9.9% vs. 6.7%; p=0.002) and the dpCRBSI incidence (7.0 vs. 4.7/1000 CVC days; p=0.002) were significantly higher in men vs. women. The proportion of coagulase-negative staphylococci as causative agent of both dCRBSI and dpCRBSI was higher in men than in women (58.8% vs. 41.2%; p=0.07, and 61.5% vs. 38.5%; p=0.002, respectively). A multivariable regression revealed neutropenia as an independent risk factor for dCRBSI and male sex as risk factor for dCRBSI and dpCRBSI. Conclusion: In patients with hematological malignancies, men have a higher risk of CRBSI than women. This finding may be attributed to the high number of jugular vein inserted CVCs which in men may be associated with higher rates of skin colonization than in women. Special preventive measures such as earlier removal of CVCs in men may be studied in future.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1007/s12312-022-01113-4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022', 'https://doi.org/10.1007/s12312-022-01113-4', event);\">\n    Sozioökonomische Benachteiligung als Risikofaktor für Krebserkrankungen – „closing the care gap“.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Berger, J.; Engelhardt, M.; Möller, M.; Radeloff, K.; <a class=\"bibbase author link\" href=\"https://aseltmann.github.io/docs/publications/\">Seltmann, A.</a>;  and von Lilienfeld-Toal, M.\n</span>\n\n  \n\n</span>\n\n  <i>Forum</i>, 37(5): 382–386. October 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1007/s12312-022-01113-4\"\n     onclick=\"log_download('berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022', 'https://doi.org/10.1007/s12312-022-01113-4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Sozioökonomische Benachteiligung als Risikofaktor für Krebserkrankungen – „closing the care gap“ [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s12312-022-01113-4\"\n     onclick=\"log_download('berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022', 'http://doi.org/10.1007/s12312-022-01113-4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('berger-engelhardt-mller-radeloff-seltmann-vonlilienfeldtoal-soziokonomischebenachteiligungalsrisikofaktorfrkrebserkrankungenclosingthecaregap-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{berger_soziookonomische_2022,\n\ttitle = {Sozioökonomische {Benachteiligung} als {Risikofaktor} für {Krebserkrankungen} – „closing the care gap“},\n\tvolume = {37},\n\tcopyright = {All rights reserved},\n\tissn = {2190-9784},\n\turl = {https://doi.org/10.1007/s12312-022-01113-4},\n\tdoi = {10.1007/s12312-022-01113-4},\n\tabstract = {Armut ist ein Risikofaktor für Krebs. Menschen aus sozioökonomisch benachteiligten Gesellschaftsschichten erkranken häufiger und früher an Krebs, haben nach Diagnosestellung oftmals eine kürzere Lebenserwartung und profitieren hinsichtlich des Gesamtüberlebens weniger von der Therapie. Diese Beobachtung hat sich im Zuge der COVID-19-Pandemie weiter verschärft. Im vorliegenden Beitrag stellen wir zusammengefasst Ergebnisse für Deutschland dar, die diesen Zusammenhang illustrieren. Methodisch greifen wir dazu auf Erkenntnisse zurück, die sich auf individuelle Marker wie das individuelle Einkommen oder auf regionale Indizes sozialer Deprivation wie den German Index of Multiple Deprivation (GIMD) konzentrieren. Das Konzept der Klassenmedizin hinterfragt strukturelle Bedingungen, die dazu führen, dass das Versorgungssystem und die Behandler*innen selbst bestehende Unterschiede weiter fördern, anstatt diese auszugleichen. Faktoren der Ungleichheit in der Versorgung von Menschen gerade mit onkologischen Erkrankungen, seien sie sozioökonomischer, geschlechtsspezifischer oder ethnischer Art, müssen besser erfasst werden, um eine gerechte und gleichwertige Behandlung aller Menschen zu gewährleisten.},\n\tlanguage = {de},\n\tnumber = {5},\n\turldate = {2022-11-07},\n\tjournal = {Forum},\n\tauthor = {Berger, Johannes and Engelhardt, Monika and Möller, Mandy-Deborah and Radeloff, Katrin and Seltmann, Alva and von Lilienfeld-Toal, Marie},\n\tmonth = oct,\n\tyear = {2022},\n\tpages = {382--386},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Armut ist ein Risikofaktor für Krebs. Menschen aus sozioökonomisch benachteiligten Gesellschaftsschichten erkranken häufiger und früher an Krebs, haben nach Diagnosestellung oftmals eine kürzere Lebenserwartung und profitieren hinsichtlich des Gesamtüberlebens weniger von der Therapie. Diese Beobachtung hat sich im Zuge der COVID-19-Pandemie weiter verschärft. Im vorliegenden Beitrag stellen wir zusammengefasst Ergebnisse für Deutschland dar, die diesen Zusammenhang illustrieren. Methodisch greifen wir dazu auf Erkenntnisse zurück, die sich auf individuelle Marker wie das individuelle Einkommen oder auf regionale Indizes sozialer Deprivation wie den German Index of Multiple Deprivation (GIMD) konzentrieren. Das Konzept der Klassenmedizin hinterfragt strukturelle Bedingungen, die dazu führen, dass das Versorgungssystem und die Behandler*innen selbst bestehende Unterschiede weiter fördern, anstatt diese auszugleichen. Faktoren der Ungleichheit in der Versorgung von Menschen gerade mit onkologischen Erkrankungen, seien sie sozioökonomischer, geschlechtsspezifischer oder ethnischer Art, müssen besser erfasst werden, um eine gerechte und gleichwertige Behandlung aller Menschen zu gewährleisten.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"seltmann-carravilla-reglinski-eggeling-waithe-anewparadigmforfluorescencetracemanipulationtoreduceartifactsinfcsmeasurements-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A new paradigm for fluorescence trace manipulation to reduce artifacts in FCS measurements.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://aseltmann.github.io/docs/publications/\">Seltmann, A.</a>; Carravilla, P.; Reglinski, K.; Eggeling, C.;  and Waithe, D.\n</span>\n\n  \n\n</span>\n\n  In Chalmers University of Technology, Gothenburg, Sweden, September 2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/seltmann-carravilla-reglinski-eggeling-waithe-anewparadigmforfluorescencetracemanipulationtoreduceartifactsinfcsmeasurements-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('seltmann-carravilla-reglinski-eggeling-waithe-anewparadigmforfluorescencetracemanipulationtoreduceartifactsinfcsmeasurements-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{seltmann_new_2022,\n\taddress = {Chalmers University of Technology, Gothenburg, Sweden},\n\ttitle = {A new paradigm for fluorescence trace manipulation to reduce artifacts in {FCS} measurements},\n\tcopyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},\n\tabstract = {Fluorescence correlation spectroscopy (FCS) is a powerful technique to study molecular dynamics on the nanoscale, yet the experimental setup is prone to different artefacts. Therefore, the typical FCS analysis pipeline involves careful inspection of the autocorrelation function and the underlying fluorescence trace. If users detect severe intensity shifts due to e.g. photobleaching, detector dropout, or bright peaks, FCS guidelines commonly advise discarding these traces1,2. Here, we show a new approach to post-process fluorescence traces to reduce these artefacts and enable a meaningful FCS analysis. Established photon filtering methods work by giving artifactual photons lower weights3. We propose to remove the artifactual photons and shift the arrival times of the remaining photons as if the artifactual photons never arrived. We evaluate this &quot;cut and shift&quot; method on simulated fluorescence traces and experimental FCS data showing severe peak artefacts. It is applicable to FCS data consisting of binned count rates, as well as photon arrival times (TCSPC data). We characterize the limits of this approach, which depends on the length of measurement, the molecule speed, and the temporal resolution. Lastly, we show that combining this approach with neural network-based artefact prediction enables FCS users to automate peak artefact removal. In conclusion, optimizing FCS traces using the &quot;cut and shift&quot; approach makes previously discardable/useless FCS measurements possible. Therefore, it is a valuable extension for every FCS user&#x27;s toolbox.},\n\tlanguage = {en},\n\tauthor = {Seltmann, Alva and Carravilla, Pablo and Reglinski, Katharina and Eggeling, Christian and Waithe, Dominic},\n\tmonth = sep,\n\tyear = {2022},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Fluorescence correlation spectroscopy (FCS) is a powerful technique to study molecular dynamics on the nanoscale, yet the experimental setup is prone to different artefacts. Therefore, the typical FCS analysis pipeline involves careful inspection of the autocorrelation function and the underlying fluorescence trace. If users detect severe intensity shifts due to e.g. photobleaching, detector dropout, or bright peaks, FCS guidelines commonly advise discarding these traces1,2. Here, we show a new approach to post-process fluorescence traces to reduce these artefacts and enable a meaningful FCS analysis. Established photon filtering methods work by giving artifactual photons lower weights3. We propose to remove the artifactual photons and shift the arrival times of the remaining photons as if the artifactual photons never arrived. We evaluate this \"cut and shift\" method on simulated fluorescence traces and experimental FCS data showing severe peak artefacts. It is applicable to FCS data consisting of binned count rates, as well as photon arrival times (TCSPC data). We characterize the limits of this approach, which depends on the length of measurement, the molecule speed, and the temporal resolution. Lastly, we show that combining this approach with neural network-based artefact prediction enables FCS users to automate peak artefact removal. In conclusion, optimizing FCS traces using the \"cut and shift\" approach makes previously discardable/useless FCS measurements possible. Therefore, it is a valuable extension for every FCS user's toolbox.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020', 'https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/', event);\">\n    Automated, User-independent Correction of Artifacts in Fluorescence Correlation Spectroscopy Measurements using Convolutional Neural Networks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://aseltmann.github.io/docs/publications/\">Seltmann, A.</a>; Eggeling, C.;  and Waithe, D.\n</span>\n\n  \n\n</span>\n\n  In University of Oxford, Oxford, United Kingdom, January 2020. Quantitative BioImaging Society\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/\"\n     onclick=\"log_download('seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020', 'https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Automated, User-independent Correction of Artifacts in Fluorescence Correlation Spectroscopy Measurements using Convolutional Neural Networks [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('seltmann-eggeling-waithe-automateduserindependentcorrectionofartifactsinfluorescencecorrelationspectroscopymeasurementsusingconvolutionalneuralnetworks-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{seltmann_automated_2020,\n\taddress = {University of Oxford, Oxford, United Kingdom},\n\ttitle = {Automated, {User}-independent {Correction} of {Artifacts} in {Fluorescence} {Correlation} {Spectroscopy} {Measurements} using {Convolutional} {Neural} {Networks}},\n\tcopyright = {Creative Commons Attribution 4.0 International Licence (CC-BY)},\n\turl = {https://www.quantitativebioimaging.com/past-conferences/qbi2020/conference-and-program-booklet/},\n\tabstract = {Fluorescence correlation spectroscopy (FCS) is a well-established tool for\nstudying molecular dynamics. Unfortunately, the single-molecule sensitivity\nand high dynamic resolution of FCS comes with the cost of a variety of\nhardware- and sample-related artifacts, such as photobleaching,\ncontamination from additional slow moving particles, or sudden drops in\nintensity because of detector anomalies 1. These artifacts distort the\nmeasured fluorescence traces, as well as the analysis by auto-correlation,\nand render them useless. In practice, these corrupted traces are often\nfiltered by hand. Here, we show that a variety of commonly seen artifacts\ncan be corrected by automatic cropping of fluorescence traces through using\nconvolutional neural networks (CNNs). The models were trained on data\ngenerated using an established FCS trace simulation algorithm based on 2-\ndimensional stochastic Brownian motion2. Next, the models were validated\non experimental data. Finally, we performed a statistical comparison\nbetween the auto-correlation results of the traces corrected by our system\nand the auto-correlation results of a set of non-corrupted traces. Our\napproach offers a reproducible, user-independent solution on how to handle\nFCS measurements distorted by different artifacts without having to discard\nthe whole trace.},\n\tlanguage = {en},\n\turldate = {2023-07-18},\n\tpublisher = {Quantitative BioImaging Society},\n\tauthor = {Seltmann, Alva and Eggeling, Christian and Waithe, Dominic},\n\tmonth = jan,\n\tyear = {2020},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Fluorescence correlation spectroscopy (FCS) is a well-established tool for studying molecular dynamics. Unfortunately, the single-molecule sensitivity and high dynamic resolution of FCS comes with the cost of a variety of hardware- and sample-related artifacts, such as photobleaching, contamination from additional slow moving particles, or sudden drops in intensity because of detector anomalies 1. These artifacts distort the measured fluorescence traces, as well as the analysis by auto-correlation, and render them useless. In practice, these corrupted traces are often filtered by hand. Here, we show that a variety of commonly seen artifacts can be corrected by automatic cropping of fluorescence traces through using convolutional neural networks (CNNs). The models were trained on data generated using an established FCS trace simulation algorithm based on 2- dimensional stochastic Brownian motion2. Next, the models were validated on experimental data. Finally, we performed a statistical comparison between the auto-correlation results of the traces corrected by our system and the auto-correlation results of a set of non-corrupted traces. Our approach offers a reproducible, user-independent solution on how to handle FCS measurements distorted by different artifacts without having to discard the whole trace.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);