A curated list of scientific image analysis resources and software tools.
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Updated
Mar 7, 2026
A curated list of scientific image analysis resources and software tools.
🔭🪐☄️ Reproducible, scriptable stacking pipeline for DWARF 3 smart telescope FITS data with transparent frame selection, registration, and science-grade linear outputs.
A Qt-based desktop photo editor featuring a two-pane workflow and a powerful, asynchronous plugin architecture built on nexuslua.
Collection of LabView subVIs for acquisition from Photometrics Prime 95B camera using PVCAM SDK
💎 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.
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.
Turn your Android phone into a calibrated scientific imaging instrument. 16.8µm resolution, 688mm composite stitching, live tap-to-measure. Built in one day on-device
A header-only C++ library for type-safe, high-dynamic-range image containers and fundamental image processing utilities.
A C++ library for image I/O using ImageMagick and cfitsio, designed as a nexuslua plugin for asynchronous image processing.
A PyQt6 GUI for scientific image analysis, simplifying batch processing, contrast enhancement, and heatmap generation. Features AI-powered segmentation and quantification using the Segment Anything Model (SAM).
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