ArticleFrontiers in bioengineering and biotechnology2020
Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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43 citing papers in PubMed, 69 citations in OpenAlex.
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- Extracellular matrix architecture promotes immunosuppressive microenvironments in pancreatic cancer.Matrix biology : journal of the International Society for Matrix Biology · 2025Article
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- Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.Scientific reports · 2025Article
- Learning-enhanced 3D fiber orientation mapping in thick cardiac tissues.Biomedical optics express · 2025Article
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- Engineering the bone metastatic prostate cancer niche through a microphysiological system to report patient-specific treatment response.Communications biology · 2025Article
- Leveraging Optical Anisotropy of the Morpho Butterfly Wing for Quantitative, Stain-Free, and Contact-Free Assessment of Biological Tissue Microstructures.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Matrix mechano-sensing at the invasive front induces a cytoskeletal and transcriptional memory supporting metastasis.Nature communications · 2025Article
- Sulfur dioxide exposure of mice induces peribronchiolar fibrosis-A defining feature of deployment-related constrictive bronchiolitis.PloS one · 2025Article
- Fibre tracing in biomedical images: An objective comparison between seven algorithms.PloS one · 2025Article
- Mueller matrix analysis of a biologically sourced engineered tissue construct as polarimetric phantom.Journal of biomedical optics · 2024Article
- Engineered 3D Periodontal Ligament Model with Magnetic Tensile Loading.Journal of dental research · 2024Article
- The importance of 3D fibre architecture in cancer and implications for biomaterial model design.Nature reviews. Cancer · 2024Review
- Senescence Defines a Distinct Subset of Myofibroblasts That Orchestrates Immunosuppression in Pancreatic Cancer.Cancer discovery · 2024Article
- A mouse model of TB-associated lung fibrosis reveals persistent inflammatory macrophage populations during treatment.bioRxiv : the preprint server for biology · 2024Article
- Collagen organization and structure inBiomedical optics express · 2024Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
Abstract
Quantification of fibrillar collagen organization has given new insight into the possible role of collagen topology in many diseases and has also identified candidate image-based bio-markers in breast cancer and pancreatic cancer. We have been developing collagen quantification tools based on the curvelet transform (CT) algorithm and have demonstrated this to be a powerful multiscale image representation method due to its unique features in collagen image denoising and fiber edge enhancement. In this paper, we present our CT-based collagen quantification software platform with a focus on new features and also giving a detailed description of curvelet-based fiber representation. These new features include C++-based code optimization for fast individual fiber tracking, Java-based synthetic fiber generator module for method validation, automatic tumor boundary generation for fiber relative quantification, parallel computing for large-scale batch mode processing, region-of-interest analysis for user-specified quantification, and pre- and post-processing modules for individual fiber visualization. We present a validation of the tracking of individual fibers and fiber orientations by using synthesized fibers generated by the synthetic fiber generator. In addition, we provide a comparison of the fiber orientation calculation on pancreatic tissue images between our tool and three other quantitative approaches. Lastly, we demonstrate the use of our software tool for the automatic tumor boundary creation and the relative alignment quantification of collagen fibers in human breast cancer pathology images, as well as the alignment quantification of
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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.