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- W3184444416 abstract "Light Sheet Fluorescence Microscopy (LSFM) has revolutionized how optical imaging of biological specimens can be performed as this technique allows to produce 3D fluorescence images of entire samples with a high spatiotemporal resolution. In this manuscript, we aim to provide readers with an overview of the field of LSFM on ex vivo samples. Recent advances in LSFM architectures have made the technique widely accessible and have improved its acquisition speed and resolution, among other features. These developments are strongly supported by quantitative analysis of the huge image volumes produced thanks to the boost in computational capacities, the advent of Deep Learning techniques, and by the combination of LSFM with other imaging modalities. Namely, LSFM allows for the characterization of biological structures, disease manifestations and drug effectivity studies. This information can ultimately serve to develop novel diagnostic procedures, treatments and even to model the organs physiology in healthy and pathological conditions." @default.
- W3184444416 created "2021-08-02" @default.
- W3184444416 creator A5022934126 @default.
- W3184444416 creator A5046491383 @default.
- W3184444416 creator A5054012848 @default.
- W3184444416 creator A5088682229 @default.
- W3184444416 date "2022-01-01" @default.
- W3184444416 modified "2023-10-18" @default.
- W3184444416 title "Innovations in ex vivo Light Sheet Fluorescence Microscopy" @default.
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- W3184444416 doi "https://doi.org/10.1016/j.pbiomolbio.2021.07.002" @default.
- W3184444416 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34293338" @default.
- W3184444416 hasPublicationYear "2022" @default.
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