In Situ Sequencing data used in "ISTDECO: In Situ Transcriptomics Decoding by Deconvolution"

This repository contains a few image slices from an in situ sequencing experiment [1]. The data is organized as follows: Each folder corresponds to a staining round. Each .tif image corresponds to a channel. The codebook can be loaded from the .mat file using MATLAB's load function or scipy.io.loadmat in Python. Acknowledgment: We kindly thank Qian et al. [1] for sharing their image data. References [1] Qian, Xiaoyan, et al. "Probabilistic cell typing enables fine mapping of closely related cell types in situ." Nature methods 17.1 (2020): 101-106.