Live-cell imaging powered by computation

Fuente: arXiv
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Auteurs principaux: Shroff, Hari, Testa, Ilaria, Jug, Florian, Manley, Suliana
Format: Preprint
Publié: 2024
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author Shroff, Hari
Testa, Ilaria
Jug, Florian
Manley, Suliana
author_facet Shroff, Hari
Testa, Ilaria
Jug, Florian
Manley, Suliana
contents The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. We focus here on computational methods that promise to boost live-cell fluorescence microscopy, where intra-cellular dynamics and cell viability constrain measurements considerably. Considering the tradeoffs between signal-to-noise ratio (SNR), spatial resolution, temporal resolution, and multi-color and multi-channel capacity, we review computational methods that can be layered on top of commonly used existing microscopies, as well as hybrid methods that integrate computation and microscope hardware.
format Preprint
id arxiv_https___arxiv_org_abs_2401_01438
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Live-cell imaging powered by computation
Shroff, Hari
Testa, Ilaria
Jug, Florian
Manley, Suliana
Quantitative Methods
Biological Physics
The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. We focus here on computational methods that promise to boost live-cell fluorescence microscopy, where intra-cellular dynamics and cell viability constrain measurements considerably. Considering the tradeoffs between signal-to-noise ratio (SNR), spatial resolution, temporal resolution, and multi-color and multi-channel capacity, we review computational methods that can be layered on top of commonly used existing microscopies, as well as hybrid methods that integrate computation and microscope hardware.
title Live-cell imaging powered by computation
topic Quantitative Methods
Biological Physics
url https://arxiv.org/abs/2401.01438