训练与评测机器学习与科研 AIFreedomIntelligence/OpenClaw-Medical-Skills训练与评测
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bio-imaging-mass-cytometry-interactive-annotation

维护者 FreedomIntelligence · 最近更新 2026年4月1日

bio-imaging-mass-cytometry-interactive-annotation:Interactive cell type annotation ,用于 IMC data。 Covers napari-based annotation,marker-guided labeling,training data generation,、 annotation validation。 适合在manually annotating cell types ,用于 training classifiers 或 validating automated phenotyping results时使用。

OpenClawNanoClaw训练编排评测比较bio-imaging-mass-cytometry-interactive-annotation🧬 bioinformatics (gptomics bio-* suite)bioinformatics — immunoinformatics & flow cytometryinteractive

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-imaging-mass-cytometry-interactive-annotation

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Python:napari.Viewer() ,支持 label layer ,用于 interactive annotation。
  • Manually annotate cell types in my IMC data" → Interactively label cells ,使用 napari visualization ,支持 marker overlays ,用于 training classifiers 或 validating automated phenotyping results. Python:napari.Viewer() ,支持 label layer ,用于 interactive annotation。
  • image_stack = io.imread('imc_image.tiff') # (C,H,W) 分割_mask = io.imread('cell_分割.tiff')。

原始文档

SKILL.md 摘录

Napari-Based Annotation

import napari
import numpy as np
from skimage import io
import pandas as pd

## Add channels as separate layers for visualization

channel_names = ['CD45', 'CD3', 'CD68', 'panCK', 'DNA']
for i, name in enumerate(channel_names):
    viewer.add_image(image_stack[i], name=name, visible=False, colormap='gray', blending='additive')

## Add segmentation

viewer.add_labels(segmentation_mask, name='Cells')

适用场景

  • 适合在manually annotating cell types ,用于 training classifiers 或 validating automated phenotyping results时使用。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

上游相关技能

  • cell-segmentation - Generate cell masks for annotation
  • phenotyping - Automated phenotyping as alternative
  • spatial-analysis - Use annotations for spatial analysis
  • quality-metrics - QC annotated data

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