bio-imaging-mass-cytometry-quality-metrics
Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-imaging-mass-cytometry-quality-metrics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scipy 1.12+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Quality Metrics **"Assess quality of my IMC acquisition"** → Evaluate IMC data quality through signal-to-noise ratios, channel correlations, tissue integrity scores, and acquisition-specific QC metrics. - Python: `numpy`/`scipy` for SNR calculation and channel correlation analysis ## Signal-to-Noise Ratio ```python import numpy as np from scipy import ndimage from skimage import io def calculate_snr(image, mask=None): '''Calculate signal-to-noise ratio for an image channel.''' if mask is None: mask = image > np.percentile(image, 10) signal = np.mean(image[mask]) noise = np.std(image[~mask]) if noise == 0: return np.inf snr = signal / noise return snr def calculate_snr_all_channels(image_stack, channel_names, tissue_mask=None): '''Calculate SNR for all chan
- Version Compatibility
- Signal-to-Noise Ratio
- Channel Correlation
- Tissue Integrity
- Acquisition QC
- Dynamic Range
- Segmentation Quality Metrics
- Batch QC Summary
- Visualization
- Related Skills
What does the bio-imaging-mass-cytometry-quality-metrics skill do?
Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-imaging-mass-cytometry-quality-metrics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.