Experiment Overview

Repository ID: FR-FCM-Z5TP Experiment name: Figure3ACD_5 MIFlowCyt score: 82.06%
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] [sputum] [machine] Manuscripts:
Organizations: UT Health San Antonio Flow Cytometry Core Facility, San Antonio, TX (USA)
Purpose: Describes the selection of live, single cells for machine learning and automated analysis.
Conclusion: Elimination of dead cells and debris is crucial for accurate analysis of sputum-derived cells.
Comments: None
Funding: bioAffinity Technologies, Inc.
Quality control: Alveolar macrophages serve as an internal control to confirm sample adequacy.

Experiment variables

Sample Type
· blood BL-18-077_Blood.fcs
· epithelial BL-18-077_Epithelial.fcs

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