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. 2018 Jan;13(1).
doi: 10.1002/biot.201700419. Epub 2017 Dec 11.

Demonstrating Improved Multiple Transport-Mean-Free-Path Imaging Capabilities of Light Sheet Microscopy in the Quantification of Fluorescence Dynamics

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Demonstrating Improved Multiple Transport-Mean-Free-Path Imaging Capabilities of Light Sheet Microscopy in the Quantification of Fluorescence Dynamics

Matthias Rieckher et al. Biotechnol J. 2018 Jan.

Abstract

Optical microscopy constitutes, one of the most fundamental paradigms for the understanding of complex biological mechanisms in the whole-organism and live-tissue context. Novel imaging techniques such as light sheet fluorescence microscopy (LSFM) and optical projection tomography (OPT) combined with phase-retrieval algorithms (PRT) can produce highly resolved 3D images in multiple transport-mean-free-path scales. Our study aims to exemplify the microscopic capabilities of LSFM when imaging protein dynamics in Caenorhabditis elegans and the distribution of necrotic cells in cancer cell spheroids. To this end, we apply LSFM to quantify the spatio-temporal localization of the GFP-tagged aging and stress response factor DAF-16/FOXO in transgenic C. elegans. Our analysis reveals a linear nuclear localization of DAF-16::GFP across tissues in response to heat stress, using a system that outperforms confocal scanning fluorescent microscopy in imaging speed, 3D resolution and reduced photo-toxicity. Furthermore, we present how PRT can improve the depth-to-resolution-ratio when applied to image the far-red fluorescent dye DRAQ7 which stains dead cells in a T47D cancer cell spheroid recorded with a customized OPT/LSFM system. Our studies demonstrate that LSFM combined with our novel approaches enables higher resolution and more accurate 3D quantification than previously applied technologies, proving its advance as new gold standard for fluorescence microscopy.

Keywords: caenorhabditis elegans; cancer cell spheroids; light sheet fluorescence microscopy; optical projection tomography; phase retrieved tomography.

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