In Vivo and Ex Vivo Microscopy: Moving Toward the Integration of Optical Imaging Technologies Into Pathology Practice. Wells, W. A., Thrall, M., Sorokina, A., Fine, J., Krishnamurthy, S., Haroon, A., Rao, B., Shevchuk, M. M., Wolfsen, H. C., Tearney, G. J., & Hariri, L. P. Arch Pathol Lab Med, 143(3):288–298, March, 2019.
In Vivo and Ex Vivo Microscopy: Moving Toward the Integration of Optical Imaging Technologies Into Pathology Practice [link]Paper  doi  abstract   bibtex   
The traditional surgical pathology assessment requires tissue to be removed from the patient, then processed, sectioned, stained, and interpreted by a pathologist using a light microscope. Today, an array of alternate optical imaging technologies allow tissue to be viewed at high resolution, in real time, without the need for processing, fixation, freezing, or staining. Optical imaging can be done in living patients without tissue removal, termed in vivo microscopy, or also in freshly excised tissue, termed ex vivo microscopy. Both in vivo and ex vivo microscopy have tremendous potential for clinical impact in a wide variety of applications. However, in order for these technologies to enter mainstream clinical care, an expert will be required to assess and interpret the imaging data. The optical images generated from these imaging techniques are often similar to the light microscopic images that pathologists already have expertise in interpreting. Other clinical specialists do not have this same expertise in microscopy, therefore, pathologists are a logical choice to step into the developing role of microscopic imaging expert. Here, we review the emerging technologies of in vivo and ex vivo microscopy in terms of the technical aspects and potential clinical applications. We also discuss why pathologists are essential to the successful clinical adoption of such technologies and the educational resources available to help them step into this emerging role.
@article{wells_vivo_2019,
	title = {In {Vivo} and {Ex} {Vivo} {Microscopy}: {Moving} {Toward} the {Integration} of {Optical} {Imaging} {Technologies} {Into} {Pathology} {Practice}},
	volume = {143},
	copyright = {All rights reserved},
	issn = {1543-2165 (Electronic) 0003-9985 (Linking)},
	url = {https://www.ncbi.nlm.nih.gov/pubmed/30525931},
	doi = {10.5858/arpa.2018-0298-RA},
	abstract = {The traditional surgical pathology assessment requires tissue to be removed from the patient, then processed, sectioned, stained, and interpreted by a pathologist using a light microscope. Today, an array of alternate optical imaging technologies allow tissue to be viewed at high resolution, in real time, without the need for processing, fixation, freezing, or staining. Optical imaging can be done in living patients without tissue removal, termed in vivo microscopy, or also in freshly excised tissue, termed ex vivo microscopy. Both in vivo and ex vivo microscopy have tremendous potential for clinical impact in a wide variety of applications. However, in order for these technologies to enter mainstream clinical care, an expert will be required to assess and interpret the imaging data. The optical images generated from these imaging techniques are often similar to the light microscopic images that pathologists already have expertise in interpreting. Other clinical specialists do not have this same expertise in microscopy, therefore, pathologists are a logical choice to step into the developing role of microscopic imaging expert. Here, we review the emerging technologies of in vivo and ex vivo microscopy in terms of the technical aspects and potential clinical applications. We also discuss why pathologists are essential to the successful clinical adoption of such technologies and the educational resources available to help them step into this emerging role.},
	number = {3},
	journal = {Arch Pathol Lab Med},
	author = {Wells, W. A. and Thrall, M. and Sorokina, A. and Fine, J. and Krishnamurthy, S. and Haroon, A. and Rao, B. and Shevchuk, M. M. and Wolfsen, H. C. and Tearney, G. J. and Hariri, L. P.},
	month = mar,
	year = {2019},
	pages = {288--298},
}

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