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Segment cells from IMC images using Cellpose/Mesmer/steinbock and extract per-cell expression data with spatial coordinates.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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.
SOC 직업 분류 기준
| 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 |
