Image Algorithm Validator Skill
Medical image processing algorithm validation skill for segmentation, detection, and analysis algorithms
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Medical image processing algorithm validation skill for segmentation, detection, and analysis algorithms
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
Automatically identify Western Blot gel bands, perform densitometric analysis, and calculate normalized values relative to loading controls.
Cell segmentation in fluorescence microscopy images. Supports Cellpose/cpsam (Cellpose 4.0) with additional backends
Interactive viewer for microscopy. Displays 2D/3D/4D arrays as Image, Labels, Points, Shapes, Tracks layers; supports annotation, plugin analysis, headless screenshots. Core visualization for Python bioimage workflows. Use ImageJ/FIJI for macro processing; napari for Python-native interactive vis...
Computer vision for bio-image preprocessing, feature detection, real-time microscopy. Color conversion, morphology, contour/blob detection, template matching, optical flow on fluorescence/brightfield. 10-100× faster than pure Python via C++. Use scikit-image for scientific morphometry/regionprops...
Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.
DL cell/nucleus segmentation for fluorescence and brightfield microscopy. Pre-trained models (cyto3, nuclei, tissuenet) and a generalist flow-based algorithm segment cells without retraining. Outputs label masks for morphology and tracking. Use scikit-image watershed for rule-based; Cellpose when...
Implements a robust panorama stitching pipeline using NumPy for geometric transformations (RANSAC, DLT, Warping) while comparing SIFT, SURF, and ORB features. Enforces reference-to-target matching and generates visualization/performance metrics.
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. ...
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by K-Dense, Inc.. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Researcher, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
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