Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning.
Nat Methods
; 18(5): 551-556, 2021 05.
Article
em En
| MEDLINE
| ID: mdl-33574612
ABSTRACT
Light-field microscopy has emerged as a technique of choice for high-speed volumetric imaging of fast biological processes. However, artifacts, nonuniform resolution and a slow reconstruction speed have limited its full capabilities for in toto extraction of dynamic spatiotemporal patterns in samples. Here, we combined a view-channel-depth (VCD) neural network with light-field microscopy to mitigate these limitations, yielding artifact-free three-dimensional image sequences with uniform spatial resolution and high-video-rate reconstruction throughput. We imaged neuronal activities across moving Caenorhabditis elegans and blood flow in a beating zebrafish heart at single-cell resolution with volumetric imaging rates up to 200 Hz.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Caenorhabditis elegans
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Aprendizado Profundo
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Coração
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Microscopia
Limite:
Animals
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article