{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Metz J"],"funding":["University of Exeter","Royal Society","Engineering and Physical Sciences Research Council"],"pagination":["bio059758"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10651089"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(11)"],"pubmed_abstract":["Reproducibility is severely limited if instrument performance is assumed rather than measured. Within optical microscopy, instrument performance is typically measured using sub-resolution fluorescent beads. However, the process is performed infrequently as it is requires time and suitably trained staff to acquire and then process the bead images. Analysis software still requires the manual entry of imaging parameters. Human error from repeatedly typing these parameters can significantly affect the outcome of the analysis, rendering the results less reproducible. To avoid this issue, PyCalibrate has been developed to fully automate the analysis of bead images. PyCalibrate can be accessed either by executing the Python code locally or via a user-friendly web portal to further improve accessi"],"journal":["Biology open"],"pubmed_title":["Fully automated point spread function analysis using PyCalibrate."],"pmcid":["PMC10651089"],"funding_grant_id":["EP/R021252/1","SIF\\R2\\202044"],"pubmed_authors":["Metz J","Corbett AD","Gintoli M"],"additional_accession":[]},"is_claimable":false,"name":"Fully automated point spread function analysis using PyCalibrate.","description":"Reproducibility is severely limited if instrument performance is assumed rather than measured. Within optical microscopy, instrument performance is typically measured using sub-resolution fluorescent beads. However, the process is performed infrequently as it is requires time and suitably trained staff to acquire and then process the bead images. Analysis software still requires the manual entry of imaging parameters. Human error from repeatedly typing these parameters can significantly affect the outcome of the analysis, rendering the results less reproducible. To avoid this issue, PyCalibrate has been developed to fully automate the analysis of bead images. PyCalibrate can be accessed either by executing the Python code locally or via a user-friendly web portal to further improve accessi","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Nov","modification":"2025-04-04T11:01:15.437Z","creation":"2025-04-04T11:01:15.437Z"},"accession":"S-EPMC10651089","cross_references":{"pubmed":["37815435"],"doi":["10.1242/bio.059758"]}}