Nuclear images acquired by cycleHCR for discovering cell-type-specific architectures using QuAC

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Yumin Lian, Diane-Yayra Adjavon, Takashi Kawase, Jun Kim, Greg M. Fleishman, Stephan Preibisch, Jan Funke, Zhe J. Liu
DOI: 10.5281/zenodo.18633455
Cited by: 0

Abstract

Nuclear image folders for running image classification, QuAC, and quantitative analyses. Input files for running Omics cycleHCR pipeline in https://github.com/liulabspatial/Omics-cycleHCR-QuAC: Place the input/ folder under ii_whole_brain_cell_clustering/ and vii_Clustering_robustness_tests/ to run the codes.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Cell Image Analysis Techniques Advanced Fluorescence Microscopy Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN
Document type
Dataset