FRC-QE: A robust and comparable 3D microscopy image quality metric for cleared organoids - image data

The ZIP file contains the image datasets that we acquired for benchmarking the FRC-QE algorithm. Data are ordered by microscope type and used clearing protocol.

For experimental procedure, acquisition settings and more details see:

FRC-QE: A robust and comparable 3D microscopy image quality metric for cleared organoids

Friedrich Preusser*, Natália dos Santos*, Jörg Contzen, Harald Stachelscheid, Érico Tosoni Costa, Philipp Mergenthaler#, Stephan Preibisch#

Bioinformatics, DOI: 10.1093/bioinformatics/btab160

FRC-QE is available on GitHub: GitHub - PreibischLab/FRC-QE

Funding: This work was supported by the Bundesministerium für Bildung und Forschung, Germany (BMBF, grant no. 031L0142A to S.P. and P.M., and in part by grants no. 16GW0191 and NUM-COVID 19 - Organo-Strat 01KX2021 to P.M. and H.S.) and HFSP grant RGP0021/2018-102 to S.P. and F.P. F.P. was funded by a PhD fellowship from Studienstiftung des deutschen Volkes. S.P. was funded by MDC Berlin and HHMI Janelia. N.S. was funded by FAPESP’s program of Research Internships Abroad (BEPE, 2019/06305-4) during her visit to the Preibisch lab at the MDC Berlin. P.M. was supported by the BIH-Charité Clinical Scientist Program funded by Charité – Universitätsmedizin Berlin and the Berlin Institute of Health. E.T.C. was funded by the Hospital Sirio-Libanese/HSL/SBSHSL. Establishment of the Charité High Content Shared Facility was supported by the Deutsche Forschungsgemeinschaft (DFG, grant no. INST 335/591-1).