ArticleBiomedical optics express2020
Intensity-based registration of bright-field and second-harmonic generation images of histopathology tissue sections.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Nonlinear Microscopy of ECM Remodeling in Renal and Vascular Tissues: A Systematic Review Integrating Human AVF Imaging.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis.Frontiers in bioinformatics · 2025Article
- Evolutionary Image Registration: A Review.Sensors (Basel, Switzerland) · 2023Review
- An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse.Plants (Basel, Switzerland) · 2023Article
- Is image-to-image translation the panacea for multimodal image registration? A comparative study.PloS one · 2022Article
- Real-time polarization microscopy of fibrillar collagen in histopathology.Scientific reports · 2021Article
- Collagen Organization in Relation to Ductal CarcinomaCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Article
- Multimodal affine registration for ICGA and MCSL fundus images of high myopia.Biomedical optics express · 2020Article
- Non-disruptive collagen characterization in clinical histopathology using cross-modality image synthesis.Communications biology · 2020Article
- Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of second-harmonic generation (SHG) microscopy in biomedical research is rapidly increasing. This is due in large part to the wide spread interest of using this imaging technique to examine the role of fibrillar collagen organization in diseases such as cancer. The co-examination of SHG images and traditional bright-field (BF) images of hematoxylin and eosin (H&E) stained tissue as a gold standard clinical validation is usually required. However, image registration of these two modalities has been mostly done by manually selecting corresponding landmarks which is labor intensive and error prone. We designed, implemented, and validated the first image intensity-based registration method capable of automatically aligning SHG images and BF images. In our algorithmic approach, a feature extractor is used to pre-process the BF image to block the content features not visible in SHG images and the output image is then aligned with the SHG image by maximizing the common image features. An alignment matrix maximizing the image mutual information is found by evolutionary optimization and the optimization is facilitated using a hierarchical multiresolution framework. The automatic registration results were compared to traditional manual registration to assess the performance of the algorithm. The proposed algorithm has been successfully used in several biomedical studies such as pancreatic and kidney cancer studies and shown great efficacy.
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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.