Scientific Image Editor

The tool provides domain-aware editing for scientific images, enabling researchers to apply standardized transformations while preserving data integrity. It supports calibration-based scaling so measurements reflect real-world units, and offers denoising, contrast adjustment, and normalization to improve visibility without distorting signals. Multi-channel data can be split, merged, or color-mapped for clearer overlays, and annotations or ROI contours can be embedded for documentation. A batch-processing path allows applying the same pipeline to multiple images, ensuring consistency across datasets. Outputs include calibrated, export-ready images and a structured provenance report that records every parameter value and step. This combination supports publication workflows, quality control, and teaching materials where reproducibility matters. Unique value lies in domain-aware defaults, strict provenance, and the ability to export both images and a comprehensive log, enabling researchers to reproduce results with a minimal setup. Typical use cases include preparing fluorescence microscopy figures, aligning channels for overlay analyses, and annotating ROI measurements for quantitative reports. Core features include: image import in common scientific formats, calibration-aware scaling, denoise and normalization, alignment/registration, channel management, ROI overlays, and metadata-preserving exports. The tool targets scientists, technicians, and educators seeking consistent, auditable edits that align with laboratory standards and publication requirements.