scientific-imaging

Low-memory, zero-dependency image codecs and processing in pure TypeScript for Node.js, browsers, and serverless runtimes. Bounded decode/resize pipelines plus deep TIFF, scientific raster, GeoTIFF, OME-TIFF, and whole-slide support.

Scientific image analysis resources and software tools.

Scientific Dataset Quality Control and Data Exploration Tool

🔭🪐☄️ Reproducible, scriptable stacking pipeline for DWARF 3 smart telescope FITS data with transparent frame selection, registration, and science-grade linear outputs.

Native, parallel, cloud-aware image codecs for scientific imaging in Python (JPEG XL, CZI, zstd)

Repository to Control Camera

Whole-slide image alignment, array localisation, and large-image stitching with Python, OpenCV, ONNX, and libvips.

Sistema de control para microscopio DPC de dos cámaras sobre Raspberry Pi: captura TIFF 16-bit, timelapse de larga duración y control ambiental de temperatura y CO2

Official code for "Physics-Aligned Self-Supervised Learning for Scientific Imaging" (GCPR 2026)

High-performance, browser-based spectral imaging suite. Real-time PCA-driven enhancement for rock art, archaeology, and forensics. Includes a live mobile scanner and a professional desktop editor.

A Qt-based desktop photo editor featuring a two-pane workflow and a powerful, asynchronous plugin architecture built on nexuslua.

End-to-end light field imaging pipeline: multi-camera (3x3) calibration via chessboard homography, perspective rectification preprocessing, and MATLAB GUI for interactive shift-and-sum refocusing.

Open-source digital twin for fluorescence imaging systems, including image-dataset analysis, optical filters, illumination, sensors, electronics, calibration, and hardware optimization.

CSV-driven batch processing for microscopy images: 16-bit TIFF normalisation, cropping, and calibrated scale bars

💎 LTS Industrial Standard: PDF/Word optimization with scientific Trellis Mimic engine. Features Turbo Parallel processing & Global Camouflage (Ricoh/Fujitsu/Canon 2025 profiles). Embedded Python 3.12, zero-install, no admin needed. Ultimate document privacy for Windows LTSC/Enterprise.

Large-scale image alignment and multi-channel stitching using Python, OpenCV, ONNX, and libvips.

A C# native ImageJ-like scientific image analysis application for Windows.

GPU-accelerated 3D volumetric stitcher for tomographic and microscopy datasets

Collection of LabView subVIs for acquisition from Photometrics Prime 95B camera using PVCAM SDK

Validated Micro-Manager BeanShell scripting examples: XYZ stage control, 2D scanning, spectral mapping, and multi-camera acquisition, including with different ROI. MM 1.4 & 2.0.