Notice: Temporary Suspension of New Experiment Creation
We have temporarily disabled the creation of new experiments as we are continuously running out of space. This issue has been impacting both uploads and downloads from FlowRepository. By taking this step, we aim to make downloads of existing data more reliable.
We apologize for the inconvenience and appreciate your understanding as we work on upgrading our hardware and improving the overall solution.
Thank you for your patience.

Download-button_s

Experiment Overview

Repository ID: FR-FCM-Z2FK Experiment name: Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics MIFlowCyt score: 23.25%
Primary researcher: Hiroaki Adachi PI/manager: Keiji Nakagawa Uploaded by: Hiroaki Adachi
Experiment dates: 2019-02-25 - 2019-02-25 Dataset uploaded: Feb 2020 Last updated: Feb 2020
Keywords: [flow cytometry] [Imaging Flow cytometry] [machine learning] [single cell analysis] [optofludics] Manuscripts: [32115874] Cytalogo
Organizations: ThinkCyte Inc., Bunkyo, Tokyo (Japan)
Purpose: To show that Ghost Cytometry can classify cells from a single cell line, Raji, exhibiting different image patterns in the same fluorescence color channel.
Conclusion: None
Comments: None
Funding: Not disclosed
Quality control: None
Download FCS Files or login and see the dataset in your inbox for further annotation details.