Experiment Overview
| Repository ID: | FR-FCM-Z74L | Experiment name: | Differential of leukocytes based on electrical impedances and fluorescent images coupled with neural networks | MIFlowCyt score: | 48.50% |
| Primary researcher: | Xiao Chen | PI/manager: | Xiao Chen | Uploaded by: | Xiao Chen |
| Experiment dates: | 2023-05-01 - 2023-09-10 | Dataset uploaded: | Jan 2024 | Last updated: | Jan 2024 |
| Keywords: | [Leukocyte Differential] [Classification Accuracy] [Imaging and Impedance Flow Cytometry] [Microfluidics] [Deep Neural Network] | Manuscripts: |
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| Organizations: |
Child & Family Research Institute, Department of Pediatrics, Vancouver, BC (Canada)
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| Purpose: | Differential of leukocytes based on electrical impedances and fluorescent images coupled with neural networks. | ||||
| Conclusion: | this study reported a comparable classification accuracy of 95.4% for the 4-part leukocyte differential based on fluorescent images and ResNet18. Furthermore, in this study, an almost 100% leukocyte differential was realized by combining both imaging and impedance data of single cells, producing the highest values in the field of leukocyte differentials. | ||||
| Comments: | None | ||||
| Funding: | Not disclosed | ||||
| Quality control: | None | ||||
