Archives
Adamtsl3, MMP9 and Perineuronal-Net Plasticity
2026-11-13
A preclinical study identifies Adamtsl3 as an interneuron-associated regulator of perineuronal-net structure in mouse visual cortex and links its loss to increased MMP9 activity, altered PV-cell function, and renewed adult cortical plasticity.
Mapping Infarct Structure and Cardiac Electrophysiology
2026-11-13
A proof-of-concept rat-heart study co-registered hyperspectral tissue mapping with optical action-potential mapping. The approach linked collagen-associated spectral contrast to local electrophysiological measurements, while the small infarcted-heart sample and epicardial-only view limit generalization.
Mapping Infarct Structure and Cardiac Electrophysiology
2026-11-12
A paper-centred interpretation of a proof-of-concept multimodal imaging study that co-registered epicardial tissue composition with cardiac electrical activity in infarcted rat hearts.
Mapping Cardiac Structure and Electrophysiology
2026-11-12
A proof-of-concept rat-heart study paired panoramic hyperspectral tissue mapping with optical measurements of cardiac membrane potential. The approach linked infarct structure, border-zone features, and electrophysiological behavior within a shared epicardial coordinate system, while highlighting important model and imaging limitations.
Mapping Infarct Structure and Cardiac Electrophysiology
2026-11-11
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical activity in infarcted rat hearts. The approach identified infarct and border-zone regions and revealed tissue-associated differences in action-potential duration, while remaining limited by its small ex vivo model, epicardial-only view, motion suppression, and preliminary electrophysiological comparisons.
Hyperspectral Mapping of Infarcted Heart Function
2026-11-11
A proof-of-concept rat-heart study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical behavior. The approach identified infarct-associated tissue contrasts and revealed preliminary differences in action-potential duration across healthy, border-zone, and infarcted regions.
Mapping Infarct Structure to Cardiac Electrophysiology
2026-11-10
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical activity in infarcted rat hearts. The approach identified structural tissue classes and associated them with action-potential measurements, while highlighting important limits in model size, epicardial coverage, motion suppression, and artifact handling.
Co-registering Cardiac Tissue and Electrophysiology
2026-11-10
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical activity in infarcted rat hearts. The approach identified structural regions and paired them with local electrophysiological measurements, while also revealing important boundaries imposed by motion suppression, surface-only imaging, artifacts, and the small ex vivo model.
Mapping Cardiac Structure and Electrical Function
2026-11-09
A proof-of-concept study integrated panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical activity in infarcted rat hearts. The approach distinguished healthy, border-zone, and infarcted tissue while associating these regions with action-potential measurements, but its small animal-model dataset and motion-suppression requirements limit broader interpretation.
Panoramic Imaging of Infarcted Cardiac Tissue
2026-11-09
A proof-of-concept study links hyperspectral maps of epicardial tissue composition with optical measurements of cardiac electrical activity, showing how shared spatial registration can reveal structure–function relationships around myocardial infarction.
Mapping Infarct Structure to Cardiac Electrophysiology
2026-11-08
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to electrical activity in infarcted rat hearts. The approach identified infarct and border-zone regions, aligned them with electrophysiological measurements, and provided preliminary evidence of tissue-specific action-potential differences.
Mapping Infarct Structure and Cardiac Electrophysiology
2026-11-07
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical behavior in infarcted rat hearts. The approach identified infarct and border-zone regions and revealed preliminary tissue-associated differences in action-potential duration, while remaining limited to an arrested, epicardial preparation.
Panoramic Mapping of Infarct Structure and Function
2026-11-06
A proof-of-concept study combined hyperspectral tissue imaging with optical cardiac mapping to align epicardial tissue composition and electrical activity in infarcted rat hearts. The approach identified tissue classes and associated electrophysiological patterns while highlighting important model and measurement limitations.
Mapping Infarct Structure to Cardiac Electrophysiology
2026-11-06
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to electrical activity in infarcted rat hearts. The approach identified structural tissue classes and revealed tissue-associated differences in action-potential duration and arrhythmia-related activity, while remaining limited to an ex vivo epicardial model.
Mapping Infarct Structure to Cardiac Electrophysiology
2026-11-05
A proof-of-concept study combined panoramic hyperspectral imaging with optical mapping to relate epicardial tissue composition to cardiac electrical activity in infarcted rat hearts. The approach identified healthy, border-zone, and infarcted regions and linked these classes to differences in action-potential duration, while highlighting important limits of motion suppression, epicardial-only imaging, artifact control, and small-sample validation.