Virtual unfolding of light sheet fluorescence microscopy dataset for quantitative analysis of the mouse intestine

Alessia Candeo; Ilenia Sana; Eleonora Ferrari; Luigi Maiuri; Cosimo D’Andrea; Gianluca Valentini; Andrea Bassi

doi:10.1117/1.JBO.21.5.056001

2 May 2016 Virtual unfolding of light sheet fluorescence microscopy dataset for quantitative analysis of the mouse intestine

Alessia Candeo, Ilenia Sana, Eleonora Ferrari, Luigi Maiuri, Cosimo D’Andrea, Gianluca Valentini, Andrea Bassi

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Journal of Biomedical Optics, Vol. 21, Issue 5, 056001 (May 2016). https://doi.org/10.1117/1.JBO.21.5.056001

Abstract

Light sheet fluorescence microscopy has proven to be a powerful tool to image fixed and chemically cleared samples, providing in depth and high resolution reconstructions of intact mouse organs. We applied light sheet microscopy to image the mouse intestine. We found that large portions of the sample can be readily visualized, assessing the organ status and highlighting the presence of regions with impaired morphology. Yet, three-dimensional (3-D) sectioning of the intestine leads to a large dataset that produces unnecessary storage and processing overload. We developed a routine that extracts the relevant information from a large image stack and provides quantitative analysis of the intestine morphology. This result was achieved by a three step procedure consisting of: (1) virtually unfold the 3-D reconstruction of the intestine; (2) observe it layer-by-layer; and (3) identify distinct villi and statistically analyze multiple samples belonging to different intestinal regions. Even if the procedure has been developed for the murine intestine, most of the underlying concepts have a general applicability.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Alessia Candeo, Ilenia Sana, Eleonora Ferrari, Luigi Maiuri, Cosimo D’Andrea, Gianluca Valentini, and Andrea Bassi "Virtual unfolding of light sheet fluorescence microscopy dataset for quantitative analysis of the mouse intestine," Journal of Biomedical Optics 21(5), 056001 (2 May 2016). https://doi.org/10.1117/1.JBO.21.5.056001

Published: 2 May 2016

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