S Gong

PanoMito: mapping mitochondrial heterogeneity from morphofunctional profiling to single-mitochondrion spatial transcriptomics

Karl Zhanghao, Jingqian Wang, S Gong, Ying Chen et autres

nz, cn (code pays fourni par la source)

PanoMitoAtlas

S Gong

The dataset includes 2D images, time-lapse images, and their corresponding annotations in COCO format, as well as the training/test splits used in PanoMito, enabling researchers to reproduce our experiments and reuse the dataset for future studies. The PanoMitoAtlas.zip archive contains the following …

cn (code pays fourni par la source)

PanoMitoAtlas

S Gong

The dataset includes 2D images, time-lapse images, and their corresponding annotations in COCO format, as well as the training/test splits used in PanoMito, enabling researchers to reproduce our experiments and reuse the dataset for future studies. The PanoMitoAtlas.zip archive contains the following …

cn (code pays fourni par la source)

PanoMitoAtlas

S Gong

The dataset includes 2D images, 3D images, time-lapse images, and the training/test splits used in PanoMito, enabling researchers to reproduce our experiments and reuse the dataset for future studies. The PanoMitoAtlas.zip archive contains the following components: all_2d_dataset: This folder contains 6,481 mitochondrial …

cn (code pays fourni par la source)

PanoMito_MODEL

S Gong

PanoMito_MODEL contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoCluster.pth" Segmentation model: "PanoMitoSeg.pth" Pretrain model: "tissuenet_model_0019999.pth"

cn (code pays fourni par la source)

PanoMito_MODEL

S Gong

PanoMito_MODEL contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoCluster.pth" Segmentation model: "PanoMitoSeg.pth" Pretrain model: "tissuenet_model_0019999.pth"

cn (code pays fourni par la source)

PanoMitoAtlas

S Gong

The dataset includes 2D images, 3D images, time-lapse images, and the training/test splits used in PanoMito, enabling researchers to reproduce our experiments and reuse the dataset for future studies. The PanoMitoAtlas.zip archive contains the following components: all_2d_dataset: This folder contains 6,481 mitochondrial …

cn (code pays fourni par la source)

PanoMito_pretrain_model

S Gong

This repository provides a initialization weights for fine-tuning PanoMitoSeg. The weights were pretrained on TissueNet, a multi-tissue microscopy instance-segmentation dataset. Training on diverse tissue images gives PanoMitoSeg a strong starting point for mitochondrial instance segmentation, improving convergence and stability when fine-tuning on …

cn (code pays fourni par la source)

PanoMito_pretrain_model

S Gong

This repository provides a initialization weights for fine-tuning PanoMitoSeg. The weights were pretrained on TissueNet, a multi-tissue microscopy instance-segmentation dataset. Training on diverse tissue images gives PanoMitoSeg a strong starting point for mitochondrial instance segmentation, improving convergence and stability when fine-tuning on …

cn (code pays fourni par la source)

PanoMito_MODEL

S Gong

Model.zip contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoCluster.pth" Segmentation model: "PanoMitoSeg.pth"

cn (code pays fourni par la source)

PanoMito_MODEL

S Gong

Model.zip contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoCluster.pth" Segmentation model: "PanoMitoSeg.pth"

cn (code pays fourni par la source)

PanoMito_MODEL

S Gong

Model.zip contains: Cellpose model: "cellpose_model" Clustering model: "PanoMitoSeg.pth" Segmentation model: "PanoMitoSeg.pth"

cn (code pays fourni par la source)