ArticleNanomaterials (Basel, Switzerland)2025
Single-Frame Vignetting Correction for Post-Stitched-Tile Imaging Using VISTAmap.
Article in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Improved Post-Processing Framework for Whole Slide Imaging and 3D Reconstruction.Microscopy research and technique · 2026Article
- A spatial multi-omics atlas of immunosenescence reveals germinal-center B cell dysfunction in human lymph nodes.Cell press blue · 2026Article
- Spatial Glyco-Codes Define Human Liver Pathology and Progression.bioRxiv : the preprint server for biology · 2026Article
- Spatial immune hubs defined by conserved activated dendritic cells are remodeled by immunotherapy.bioRxiv : the preprint server for biology · 2026Article
- Interdisciplinary Nanomaterials for Biomedical Imaging and Sensing Applications.Nanomaterials (Basel, Switzerland) · 2025Review
- Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D.Nature communications · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Stimulated Raman Scattering (SRS) nanoscopy imaging offers unprecedented insights into tissue molecular architecture but often requires stitching multiple high-resolution tiles to capture large fields of view. This process is time-consuming and frequently introduces vignetting artifacts-grid-like intensity fluctuations that degrade image quality and hinder downstream quantitative analyses and processing such as super-resolution deconvolution. We present VIgnetted Stitched-Tile Adjustment using Morphological Adaptive Processing (VISTAmap), a simple tool that corrects these shading artifacts directly on the final stitched image. VISTAmap automatically detects the tile grid configuration by analyzing intensity frequency variations and then applies sequential morphological operations to homogenize the image. In contrast to conventional approaches that require increased tile overlap or pre-acquisition background sampling, VISTAmap offers a pragmatic, post-processing solution without the need for separate individual tile images. This work addresses pressing concerns by delivering a robust, efficient strategy for enhancing mosaic image uniformity in modern nanoscopy, where the smallest details make tremendous impacts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.