@article{Xiang2018a,
abstract = {Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D information. We introduce an integrated experimental and image reconstruction method for capturing dynamic 3D fluorescent extended objects as a series of synchronously measured 3D snapshots taken at the frame rate of the imaging camera. We employ multifocal microscopy (MFM) to simultaneously image at 25 focal planes and process this depth-encoded image to recover the 3D structure of extended objects, such as bacteria, using a sparsity-based reconstruction approach. The combined experimental and computational method produces image quality similar to confocal microscopy in a fraction of the acquisition time. In addition, our computational image reconstruction approach allows a simplified MFM optical design by correcting aberrations using the measured response to point sources. This "compressive" MFM acquisition and reconstruction method, where an image volume with roughly 8 million voxels is recovered from a single 1-megapixel captured image, enables straightforward study of dynamic processes in 3D, and as a simultaneous snapshot advances the state of the art in dynamic 3D microscopy.},
archivePrefix = {arXiv},
arxivId = {1802.01565},
author = {Huang, Xiang and Selewa, Alan and Wang, Xiaolei and Daddysman, Matthew K. and Gdor, Itay and Wilton, Rosemarie and Kemner, Kenneth M. and Yoo, Seunghwan and Katsaggelos, Aggelos K. and He, Kuan and Cossairt, Oliver and Ferrier, Nicola J. and Hereld, Mark and Scherer, Norbert F.},
eprint = {1802.01565},
journal = {arXiv preprint arXiv:1802.01565},
month = {feb},
title = {{3D Snapshot Microscopy of Extended Objects}},
url = {http://arxiv.org/abs/1802.01565},
year = {2018}
}

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We employ multifocal microscopy (MFM) to simultaneously image at 25 focal planes and process this depth-encoded image to recover the 3D structure of extended objects, such as bacteria, using a sparsity-based reconstruction approach. The combined experimental and computational method produces image quality similar to confocal microscopy in a fraction of the acquisition time. In addition, our computational image reconstruction approach allows a simplified MFM optical design by correcting aberrations using the measured response to point sources. This \"compressive\" MFM acquisition and reconstruction method, where an image volume with roughly 8 million voxels is recovered from a single 1-megapixel captured image, enables straightforward study of dynamic processes in 3D, and as a simultaneous snapshot advances the state of the art in dynamic 3D microscopy.","archiveprefix":"arXiv","arxivid":"1802.01565","author":[{"propositions":[],"lastnames":["Huang"],"firstnames":["Xiang"],"suffixes":[]},{"propositions":[],"lastnames":["Selewa"],"firstnames":["Alan"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Xiaolei"],"suffixes":[]},{"propositions":[],"lastnames":["Daddysman"],"firstnames":["Matthew","K."],"suffixes":[]},{"propositions":[],"lastnames":["Gdor"],"firstnames":["Itay"],"suffixes":[]},{"propositions":[],"lastnames":["Wilton"],"firstnames":["Rosemarie"],"suffixes":[]},{"propositions":[],"lastnames":["Kemner"],"firstnames":["Kenneth","M."],"suffixes":[]},{"propositions":[],"lastnames":["Yoo"],"firstnames":["Seunghwan"],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K."],"suffixes":[]},{"propositions":[],"lastnames":["He"],"firstnames":["Kuan"],"suffixes":[]},{"propositions":[],"lastnames":["Cossairt"],"firstnames":["Oliver"],"suffixes":[]},{"propositions":[],"lastnames":["Ferrier"],"firstnames":["Nicola","J."],"suffixes":[]},{"propositions":[],"lastnames":["Hereld"],"firstnames":["Mark"],"suffixes":[]},{"propositions":[],"lastnames":["Scherer"],"firstnames":["Norbert","F."],"suffixes":[]}],"eprint":"1802.01565","journal":"arXiv preprint arXiv:1802.01565","month":"feb","title":"3D Snapshot Microscopy of Extended Objects","url":"http://arxiv.org/abs/1802.01565","year":"2018","bibtex":"@article{Xiang2018a,\nabstract = {Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D information. We introduce an integrated experimental and image reconstruction method for capturing dynamic 3D fluorescent extended objects as a series of synchronously measured 3D snapshots taken at the frame rate of the imaging camera. We employ multifocal microscopy (MFM) to simultaneously image at 25 focal planes and process this depth-encoded image to recover the 3D structure of extended objects, such as bacteria, using a sparsity-based reconstruction approach. The combined experimental and computational method produces image quality similar to confocal microscopy in a fraction of the acquisition time. In addition, our computational image reconstruction approach allows a simplified MFM optical design by correcting aberrations using the measured response to point sources. 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