PanoMito_demo_data

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

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Authors: S Gong
DOI: 10.5281/zenodo.18607926
Cited by: 0

Abstract

This sample data and model are for use with the PanoMito example code; the full dataset will be made publicly available upon publication. Test_data.zip contains 611 test dataset images for generating benchmark results. Fig3P1.zip contains 3,172 unlabeled images for generating the results shown in Figure 3. maskdino.zip and detectron2.zip are dependencies. Model.zip contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoSeg.pth" K-means model: "init_kmeans_model_k_12.pkl" Segmentation model: "PanoMitoSeg.pth"

Fields of Study & Subjects

Cell Image Analysis Techniques Advanced Neural Network Applications Single-cell and spatial transcriptomics

Publication details

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