Single-Frame Vignetting Correction for Post-Stitched-Tile Imaging Using VISTAmap.

Area of Science:

• Microscopy and Imaging Technologies
• Biophotonics and Optical Imaging
• Computational Imaging and Image Processing

Background:

• Stimulated Raman Scattering (SRS) nanoscopy provides high-resolution molecular imaging of tissues.
• Acquiring large fields of view in SRS nanoscopy necessitates stitching multiple image tiles.
• Stitching tiles often introduces vignetting artifacts, degrading image quality and hindering analysis.

Purpose of the Study:

• To introduce VISTAmap, a novel post-processing tool for correcting vignetting artifacts in stitched SRS nanoscopy images.
• To provide an efficient and pragmatic solution for enhancing mosaic image uniformity without altering acquisition parameters.

Main Methods:

• VISTAmap analyzes intensity frequency variations to automatically detect tile grid configurations.
• The tool applies sequential morphological operations to homogenize image intensity across tiles.
• Correction is performed directly on the final stitched image, eliminating the need for individual tile adjustments.

Main Results:

• VISTAmap effectively corrects grid-like intensity fluctuations (vignetting artifacts) in stitched SRS nanoscopy images.
• The method enhances mosaic image uniformity, improving suitability for quantitative analyses and super-resolution deconvolution.
• Demonstrates a post-processing solution that bypasses the need for increased tile overlap or pre-acquisition background sampling.

Conclusions:

• VISTAmap offers a robust and efficient strategy for mitigating vignetting artifacts in large-field SRS nanoscopy.
• This tool significantly improves the quality and reliability of quantitative data derived from mosaic nanoscopy images.
• Addresses a critical challenge in modern nanoscopy, enabling more impactful downstream processing and interpretation.