ArticleJournal of biomedical optics2014
Computational segmentation of collagen fibers from second-harmonic generation images of breast cancer.
Article in Journal of biomedical optics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
256 citing papers in PubMed, 409 citations in OpenAlex.
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- Characterization of Collagen Fiber Organization in Breast Cancer via Model-Free Multiscale pSHG Image Analysis.Annals of biomedical engineering · 2026Article
- Targeting fibrosis in the treatment of lower urinary tract dysfunction.The Journal of pathology · 2026Article
- Full-field analysis indicates late reperfusion therapy broadens and mechanically smooths the borderzone during post-infarction inflammation.Acta biomaterialia · 2026Article
- The CD49b (ITGA2) collagen receptor excludes CD8iScience · 2026Article
- A human ex vivo model of radiation-induced skin injury recapitulates p53-driven profibrotic response to radiotherapy.JCI insight · 2026Article
- Label-free volumetric refractive-index imaging of fibrillar collagen architecture, assembly, and cell-associated remodeling.bioRxiv : the preprint server for biology · 2026Article
- Targeting circulating mechanoresponsive monocytes and macrophages to reduce fibrosis.Nature biomedical engineering · 2026Article
- Artificial Second Harmonic Generation Image Feature Tuning with Generative Models and SeFa Semantic Analysis.JPhys photonics · 2026Article
- Breast cancer cell-derived extracellular vesicles accelerate collagen fibrillogenesis and integrate into the matrix.Materials today. Bio · 2026Article
- Integrated Collagen Architecture and Composition Improve Risk Stratification in Triple-Negative Breast Cancer.bioRxiv : the preprint server for biology · 2026Article
- Targeting the D93 cryptic collagen epitope alters integrin α2β1-dependent cellular migration and collagen remodeling in metastatic breast cancer.Scientific reports · 2026Article
- Ovarian Matrisome Dynamics and αvβ3-Mediated Regulation in Early Follicular Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Characterization of cutaneous wound healing in swine.JID innovations : skin science from molecules to population health · 2026Article
- Hyaluronic acid and tissue mechanics orchestrate mammalian digit tip regeneration.Science (New York, N.Y.) · 2026Article
- Targeting the D93 cryptic collagen epitope alters integrin α2β1-dependent cellular migration and collagen remodeling in metastatic breast cancer.Research square · 2026Article
- The Evaluation of Fibrotic Alterations in Regenerated Murine and Human Xenografted Skin.Methods in molecular biology (Clifton, N.J.) · 2026Article
196 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Second-harmonic generation (SHG) imaging can help reveal interactions between collagen fibers and cancer cells. Quantitative analysis of SHG images of collagen fibers is challenged by the heterogeneity of collagen structures and low signal-to-noise ratio often found while imaging collagen in tissue. The role of collagen in breast cancer progression can be assessed post acquisition via enhanced computation. To facilitate this, we have implemented and evaluated four algorithms for extracting fiber information, such as number, length, and curvature, from a variety of SHG images of collagen in breast tissue. The image-processing algorithms included a Gaussian filter, SPIRAL-TV filter, Tubeness filter, and curvelet-denoising filter. Fibers are then extracted using an automated tracking algorithm called fiber extraction (FIRE). We evaluated the algorithm performance by comparing length, angle and position of the automatically extracted fibers with those of manually extracted fibers in twenty-five SHG images of breast cancer. We found that the curvelet-denoising filter followed by FIRE, a process we call CT-FIRE, outperforms the other algorithms under investigation. CT-FIRE was then successfully applied to track collagen fiber shape changes over time in an in vivo mouse model for breast cancer.
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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.