Your browser doesn't support javascript.
loading
Innovations in ex vivo Light Sheet Fluorescence Microscopy.
Delgado-Rodriguez, Pablo; Brooks, Claire Jordan; Vaquero, Juan José; Muñoz-Barrutia, Arrate.
Afiliação
  • Delgado-Rodriguez P; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.
  • Brooks CJ; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.
  • Vaquero JJ; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
  • Muñoz-Barrutia A; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain. Electronic address: mamunozb@ing.uc3m.es.
Prog Biophys Mol Biol ; 168: 37-51, 2022 01.
Article em En | MEDLINE | ID: mdl-34293338
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Imagem Óptica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Imagem Óptica Idioma: En Ano de publicação: 2022 Tipo de documento: Article