SparroW is a flexible and scalable analysis framework for spatial transcriptomics data, designed to streamline preprocessing, segmentation, annotation, and quality control across platforms. As spatial technologies continue to diversify, SparroW provides a unified workflow that facilitates reproducible and robust analysis from raw data to biologically meaningful insights.
A key focus of SparroW is improving cell segmentation and annotation quality while providing extensive visual quality control at each step of the pipeline. The framework integrates spatial information with transcriptomic profiles, enabling accurate mapping of gene expression patterns within tissue context. Its modular architecture allows users to adapt workflows to different spatial technologies and experimental designs.
SparroW is particularly suited for researchers working with high-resolution spatial datasets who require transparent, interactive, and reproducible analysis pipelines.
