Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation
Ascertaining the collective viability of cells in different cell culture conditions has typically relied on averaging colorimetric indicators and is often reported out in simple binary readouts. Recent research has combined viability assessment techniques with image-based deep-learning models to aut...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-03-01
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| Series: | APL Bioengineering |
| Online Access: | http://dx.doi.org/10.1063/5.0189222 |