Deep Learning‐Based Single‐Cell Optical Image Studies

Volume: 97, Issue: 3, Pages: 226 - 240
Published: Jan 25, 2020
Abstract
Optical imaging technology that has the advantages of high sensitivity and cost‐effectiveness greatly promotes the progress of nondestructive single‐cell studies. Complex cellular image analysis tasks such as three‐dimensional reconstruction call for machine‐learning technology in cell optical image research. With the rapid developments of high‐throughput imaging flow cytometry, big data cell optical images are always obtained that may require...
Paper Details
Title
Deep Learning‐Based Single‐Cell Optical Image Studies
Published Date
Jan 25, 2020
Volume
97
Issue
3
Pages
226 - 240
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