Abstract
Phase-resolved microscopy enables label-free imaging of live cells. Segmentation of quantitative phase images faces challenges due to phase wrapping artifacts. We developed a phase-augmented deep learning approach to segment cells from wrapped phase images.
| Original language | English (US) |
|---|---|
| DOIs | |
| State | Published - 2025 |
| Event | 2025 Imaging Systems and Applications, IS 2025 - Seattle, United States Duration: Aug 18 2025 → Aug 21 2025 |
Conference
| Conference | 2025 Imaging Systems and Applications, IS 2025 |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 8/18/25 → 8/21/25 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- Space and Planetary Science
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Instrumentation
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