ArticleScientific reports2020
JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Differential cardiac remodelling: patterns of cardiomyocyte morphometry in multiple patient conditions.Cardiovascular research · 2026Article
- Histological evaluation of clinically defined atrial cardiomyopathy stages and their association with atrial fibrillation burden under continuous monitoring for a 2.5-year follow-up.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- A deep learning-enabled toolkit for the 3D segmentation of ventricular cardiomyocytes.The Journal of physiology · 2026Article
- CLARISA: Connexin-43 Lateralization Automated ROI-Based Image Signal Analyzer.International journal of molecular sciences · 2026Article
- Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets.Bone & joint research · 2026Article
- High Burden of Premature Ventricular Contractions Upregulates Transcriptional Markers of Inflammation and Promotes Adverse Cardiac Remodeling Linked to Cardiomyopathy.Circulation. Arrhythmia and electrophysiology · 2026Article
- Right atrial endomysial fibrosis is associated with increased postoperative atrial fibrillation burden during 2.5 years of continuous rhythm monitoring after cardiac surgery including atrial arrhythmia surgery: RACE V Tissue Bank Study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- CardiLect: A combined cross-species lectin histochemistry protocol for the automated analysis of cardiac remodelling.ESC heart failure · 2025Article
- Translation of pathophysiological mechanisms of atrial fibrosis into new diagnostic and therapeutic approaches.Nature reviews. Cardiology · 2025Review
- Histological evaluation of cardiac remodelling in equine athletes.Scientific reports · 2024Article
- Long-Term Training Increases Atrial Fibrillation Sustainability in Standardbred Racehorses.Journal of cardiovascular translational research · 2023Article
- Semiautomated pipeline for quantitative analysis of heart histopathology.Journal of translational medicine · 2023Article
- Familial atrial fibrillation mutation M1875T-SCN5A increases early sodium current and dampens the effect of flecainide.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Endomysial fibrosis, rather than overall connective tissue content, is the main determinant of conduction disturbances in human atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022Article
- Review
- Increased fibroblast accumulation in the equine heart following persistent atrial fibrillation.International journal of cardiology. Heart & vasculature · 2021Article
- Collagen I Induces Preeclampsia-Like Symptoms by Suppressing Proliferation and Invasion of Trophoblasts.Frontiers in endocrinology · 2021Article
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19 authors.
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Abstract
Many cardiac pathologies involve changes in tissue structure. Conventional analysis of structural features is extremely time-consuming and subject to observer bias. The possibility to determine spatial interrelations between these features is often not fully exploited. We developed a staining protocol and an ImageJ-based tool (JavaCyte) for automated histological analysis of cardiac structure, including quantification of cardiomyocyte size, overall and endomysial fibrosis, spatial patterns of endomysial fibrosis, fibroblast density, capillary density and capillary size. This automated analysis was compared to manual quantification in several well-characterized goat models of atrial fibrillation (AF). In addition, we tested inter-observer variability in atrial biopsies from the CATCH-ME consortium atrial tissue bank, with patients stratified by their cardiovascular risk profile for structural remodeling. We were able to reproduce previous manually derived histological findings in goat models for AF and AV block (AVB) using JavaCyte. Furthermore, strong correlation was found between manual and automated observations for myocyte count (r = 0.94, p < 0.001), myocyte diameter (r = 0.97, p < 0.001), endomysial fibrosis (r = 0.98, p < 0.001) and capillary count (r = 0.95, p < 0.001) in human biopsies. No significant variation between observers was observed (ICC = 0.89, p < 0.001). We developed and validated an open-source tool for high-throughput, automated histological analysis of cardiac tissue properties. JavaCyte was as accurate as manual measurements, with less inter-observer variability and faster throughput.
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