Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning
Objective and Impact Statement. We propose a rapid and accurate blood cell identification method exploiting deep learning and label-free refractive index (RI) tomography. Our computational approach that fully utilizes tomographic information of bone marrow (BM) white blood cell (WBC) enables us to n...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science
2021-01-01
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| Series: | BME Frontiers |
| Online Access: | http://dx.doi.org/10.34133/2021/9893804 |