Experiment Overview
| Repository ID: | FR-FCM-Z5TR | Experiment name: | Figure 4EFGH | MIFlowCyt score: | 83.21% |
| Primary researcher: | Vivienne Rebel | PI/manager: | Vivienne Rebel | Uploaded by: | Lydia Bederka |
| Experiment dates: | 2018-04-02 - 2022-11-04 | Dataset uploaded: | Nov 2022 | Last updated: | Nov 2022 |
| Keywords: | [flow cytometry] [Cancer] [automated analysis] [machine learning] [sputum] | Manuscripts: | |||
| Organizations: |
UT Health San Antonio Flow Cytometry Core Facility, San Antonio, TX (USA)
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| Purpose: | Describes the selection of live, single cells for analysis of flow cytometry data. | ||||
| Conclusion: | Removal of debris and dead cells is critical for the accuracy of using machine learning approaches and automated analysis. | ||||
| Comments: | None | ||||
| Funding: | bioAffinity Technologies, Inc. | ||||
| Quality control: | Identification of alveolar macrophages to confirm sample adequacy. Presence of alveolar macrophages confirms the sample contains cells derived from the lung and not from the oral cavity. | ||||
Experiment variables
| Sample Type | |
|---|---|
| · blood | concat_BL-18-172_Blood.fcs |
| · epithelial | concat_BL-18-172_Epithelial.fcs |
