Cargando…
Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging
Fluorescence reconstruction microscopy (FRM) describes a class of techniques where transmitted light images are passed into a convolutional neural network that then outputs predicted epifluorescence images. This approach enables many benefits including reduced phototoxicity, freeing up of fluorescen...
Autores principales: | LaChance, Julienne, Cohen, Daniel J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802935/ https://www.ncbi.nlm.nih.gov/pubmed/33362219 http://dx.doi.org/10.1371/journal.pcbi.1008443 |
Ejemplares similares
-
Learning the rules of collective cell migration using deep attention networks
por: LaChance, Julienne, et al.
Publicado: (2022) -
Motion magnification analysis of microscopy videos of biological cells
por: Shabi, Oren, et al.
Publicado: (2020) -
Content aware multi-focus image fusion for high-magnification blood film microscopy
por: Manescu, Petru, et al.
Publicado: (2022) -
Superresolution fluorescence microscopy for 3D reconstruction of thick samples
por: Park, Sangjun, et al.
Publicado: (2018) -
Hybrid Microscopy: Enabling Inexpensive High-Performance Imaging through Combined Physical and Optical Magnifications
por: Zhang, Yu Shrike, et al.
Publicado: (2016)