菜单
Segment cells from IMC images using Cellpose/Mesmer/steinbock and extract per-cell expression data with spatial coordinates.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | bioskills-cell-segmentation |
| description | Segment cells from IMC images using Cellpose/Mesmer/steinbock and extract per-cell expression data with spatial coordinates. |
| domain | single-cell |
| primary_tool | cellpose |
| methods | ["cellpose","deepcell","mesmer","steinbock","skimage","anndata","scanpy"] |
| macro_tags | ["segmentation","imc","single-cell-extraction","cellpose","spatial"] |
| micro_tags | ["cellpose","deepcell","mesmer","steinbock","regionprops","intensity-extraction","morphology","qc","visualization","anndata","tiff","csv","nuclei-expansion"] |
| source | bioskills-cell-segmentation |
| status | active |
| enabled | true |
Load BioMaster as one integrated skill-driven bioinformatics assistant.
BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.
Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.
Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.
