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FlatField Pro – Microscopy & Astronomy Lab Plugin Suite

A native plugin package for ImageJ/Fiji (microscopy standard) and Astropy (astronomy standard) that wraps 1-D flat-field correction arrays into a drag-and-drop GUI. Users load a reference image, define correction axis (horizontal/vertical vignetting), and apply to image stacks in batch. No code required; outputs corrected TIFF/FITS with metadata.

PLUGIN

22 weeks • 70% confidence

Value Proposition

Eliminates the 2–4 hour learning curve for scipy/numpy flat-fielding. Researchers stay in their native software (ImageJ or Python notebooks) instead of context-switching. Batch processing saves 40+ hours/month for labs processing 500+ images weekly. Costs 1/10th of commercial software licenses.

Target Audience

Microscopy labs (pathology, materials science), academic astronomy observatories, pharmaceutical imaging QA teams

Key Features

  • 1-D to 2-D correction array broadcasting with axis selection UI
  • Batch processing with progress tracking and error logging
  • Reference image library (save/reuse flat-field profiles per camera/lens)
  • And more, with full implementation detail...

Tech Stack

ImageJ2 API / Fiji plugin framework (Java) Astropy/NumPy/SciPy (Python) SQLite for reference library OpenCV or scikit-image for vignetting detection
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Original Problem

Image processing scientists struggle to correct optical distortions using flat fielding with limited computational tools

Researchers and engineers working with imaging systems (astronomy, microscopy, photography) need to correct vignetting and sensor artifacts using flat fielding techniques, but lack straightforward methods to apply 1-D correction arrays to 2-D images. Existing solutions require deep signal processing knowledge or expensive specialized software, creating friction in the image preprocessing pipeline.

Score: 17.5%