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Example Dataset
This example dataset is a valuable resource for the development of multiplexed image viewing tools like Minerva. Download the files to your local computer and use them as inputs to practice using Minerva Author. For practice, try to reproduce the two stories created to describe histologic features and quantitative single-cell data analysis in a single lung cancer specimen.
As described in Rashid et al., Scientific Data, 2019, the dataset comprises of multiplexed immunofluorescence images and derived single-cell measurements of immune lineage and other markers in formaldehyde-fixed and paraffin-embedded (FFPE) human lung cancer tissue. We used tissue cyclic immunofluorescence (t-CyCIF) to generate fluorescence images which we artifact corrected using the BaSiC tool, stitched and registered using the ASHLAR algorithm, and segmented using ilastik software and MATLAB. We extracted single-cell features from these images using HistoCAT software. This data is also described in Du, Lin, and Rashid et al., Nature Protocols, 2019.