Leveraging multimodal microscopy to optimize deep learning models for cell segmentation
Deep learning provides an opportunity to automatically segment and extract cellular features from high-throughput microscopy images. Many labeling strategies have been developed for this purpose, ranging from the use of fluorescent markers to label-free approaches. However, differences in the channe...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-03-01
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| Series: | APL Bioengineering |
| Online Access: | http://dx.doi.org/10.1063/5.0027993 |