Example Microscopy Metadata JSON files produced using the Micro-Meta App documenting an example raw-image file acquired using the custom-built TIRF Epifluorescence Structured Illumination Microscope. For this use case, which is presented in Figure 5 of Rigano et al., 2021, Micro-Meta App was utilized to document: 1) The Hardware Specifications of the custom build TIRF Epifluorescence Structured light Microscope (TESM; Navaroli et al., 2010) developed, built on the basis of the based on Olympus IX71 microscope stand, and owned by the Biomedical Imaging Group (http://big.umassmed.edu/) at the Program in Molecular Medicine of the University of Massachusetts Medical School. Because TESM was custom-built the most appropriate documentation level is Tier 3 (Manufacturing/Technical Development/Full Documentation) as specified by the 4DN-BINA-OME Microscopy Metadata model (Hammer et al., 2021). The TESM Hardware Specifications are stored in: Rigano et al._Figure 5_UseCase_Biomedical Imaging Group_TESM.JSON 2) The Image Acquisition Settings that were applied to the TESM microscope for the acquisition of an example image (FSWT-6hVirus-10minFIX-stk_4-EPI.tif.ome.tif) obtained by Nicholas Vecchietti and Caterina Strambio-De-Castillia. For this image, TZM-bl human cells were infected with HIV-1 retroviral three-part vector (FSWT+PAX2+pMD2.G). Six hours post-infection cells were fixed for 10 min with 1% formaldehyde in PBS, and permeabilized. Cells were stained with mouse anti-p24 primary antibody followed by DyLight488-anti-Mouse secondary antibody, to detect HIV-1 viral Capsid. In addition, cells were counterstained using rabbit anti-Lamin B1 primary antibody followed by DyLight649-anti-Rabbit secondary antibody, to visualize the nuclear envelope and with DAPI to visualize the nuclear chromosomal DNA. The Image Acquisition Settings used to acquire the FSWT-6hVirus-10minFIX-stk_4-EPI.tif.ome.tif image are stored in: Rigano et al._Figure 5_UseCase_AS_fswt-6hvirus-10minfix-stk_4-epi.tif.JSON Instructional video tutorials on how to use these example data files: Use these videos to get started with using Micro-Meta App after downloading the example data files available here. Part 1/2 Part 2/2

{"references": ["Rigano A, Ehmsen S, Ozturk SU, Ryan J, Balashov A, Hammer M, et al. Micro-Meta App: an interactive software tool to facilitate the collection of microscopy metadata based on community-driven specifications. BioRxiv [Internet]. 2021; Available from: https://www.biorxiv.org/content/10.1101/2021.05.31.446382v1", "Hammer M, Huisman M, Rigano A, Boehm U, Chambers JJ, Gaudreault N, et al. Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model. BioRxiv [Internet]. 2021 Apr 25; Available from: https://www.biorxiv.org/content/10.1101/2021.04.25.441198v1", "Huisman M, Hammer M, Rigano A, Boehm U, Chambers JJ, Gaudreault N, et al. A perspective on Microscopy Metadata: data provenance and quality control [Internet]. arXiv [q-bio.QM]. 2021. Available from: https://arxiv.org/abs/1910.11370", "1/2 Instructional video on how to use these example data files to get started with Micro-Meta App. Available at: 1/2 Instructional video on how to use these example data files to get started with Micro-Meta App. Available at: https://vimeo.com/562022222", "1/2 Instructional video on how to use these example data files to get started with Micro-Meta App. Available at: 1/2 Instructional video on how to use these example data files to get started with Micro-Meta App. Available at: https://vimeo.com/562022281", "Hammer, M., Huisman, M., Rigano, A. et al. Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model. Nat Methods 18, 1427\u20131440 (2021). https://doi.org/10.1038/s41592-021-01327-9", "Rigano, A., Ehmsen, S., \u00d6zt\u00fcrk, S.U. et al. Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications. Nat Methods 18, 1489\u20131495 (2021). https://doi.org/10.1038/s41592-021-01315-z"]}

Additional support: -- NSF grant #1917206 to D.G.; -- Chan Zuckerberg Initiative DAF (Silicon Valley Community Foundation) grant #2019-198155 (5022) awarded to C.S.D.C. as part of the Imaging Scientist Program. -- Chan Zuckerberg Initiative DAF (Silicon Valley Community Foundation) grant ##2020-225398 awarded to C.M.B. as part of the Imaging Scientist Program