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-ZZGR Experiment name: FRET efficiency standards MIFlowCyt score: 26.25%
Primary researcher: Jakub Nedbal PI/manager: Jakub Nedbal Uploaded by: Jakub Nedbal
Experiment dates: 2014-07-29 - 2014-07-29 Dataset uploaded: Nov 2014 Last updated: Nov 2014
Keywords: [FRET] [biosensor] [HEK293T] [fluorescence lifetime] [FRET standard] Manuscripts: Cytalogo
Organizations: King's College, London, (UK)
Purpose: Ratiometric FRET analysis of FRET standards expressed in HEK293T cells to support experiments performed by fluorescence lifetime flow cytometry.
Conclusion: The analysis qualitatively confirmed the results obtained by fluorescence lifetime flow cytometry.
Comments: The up-to-date source code and filer are available on GitHub: https://github.com/jnedbal/ratiometric-fret and Matlab Central File Exchange https://www.mathworks.com/matlabcentral/fileexchange/48437-ratiometric-fret
Funding: The research was funded by grant C1519/A16463 to the Cancer research UK & EPSRC Cancer Imaging Centre at KCL & UCL, the Engineering and Physical Sciences Research Council (UK) for studentship for V.V. and a Dimbleby Cancer Care endowment fund to King’s College London. The authors acknowledge financial support from the Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust.
Quality control: None
Download FCS Files or login and see the dataset in your inbox for further annotation details.