{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:08:48Z","timestamp":1790208528785,"version":"4.1.0"},"reference-count":51,"publisher":"SPIE-Intl Soc Optical Eng","issue":"06","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Biomed. Opt."],"published-print":{"date-parts":[[2024,6,5]]},"abstract":"<jats:p>SignificanceDamage to the cardiac conduction system remains one of the most significant risks associated with surgical interventions to correct congenital heart disease. This work demonstrates how light-scattering spectroscopy (LSS) can be used to non-destructively characterize cardiac tissue regions.AimTo present an approach for associating tissue composition information with location-specific LSS data and further evaluate an LSS and machine learning system as a method for non-destructive tissue characterization.ApproachA custom LSS probe was used to gather spectral data from locations across 14 excised human pediatric nodal tissue samples (8 sinus nodes, 6 atrioventricular nodes). The LSS spectra were used to train linear and neural-network-based regressor models to predict tissue composition characteristics derived from the 3D models.ResultsNodal tissue region nuclear densities were reported. A linear model trained to regress nuclear density from spectra achieved a prediction r-squared of 0.64 and a concordance correlation coefficient of 0.78.ConclusionsThese methods build on previous studies suggesting that LSS measurements combined with machine learning signal processing can provide clinically relevant cardiac tissue composition.<\/jats:p>","DOI":"10.1117\/1.jbo.29.6.066005","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T14:44:20Z","timestamp":1717598660000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["Intraoperative characterization of cardiac tissue: the potential of light scattering spectroscopy"],"prefix":"10.1117","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4226-5969","authenticated-orcid":false,"given":"Brian","family":"Cottle","sequence":"first","affiliation":[{"name":"The Univ. of 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