Insights into polycrystalline microstructure of blood films with 3D Mueller matrix imaging approach

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 13, 2024

Abstract This study introduces a novel approach in the realm of liquid biopsies, employing 3D Mueller-matrix (MM) image reconstruction technique to analyze dehydrated blood smear polycrystalline structures. Our research centers on exploiting unique optical anisotropy properties proteins, which undergo structural alterations at quaternary and tertiary levels early stages diseases such as cancer. These manifest distinct patterns microstructure dried droplets, offering minimally invasive yet highly effective method for disease detection. We utilized groundbreaking MM mapping technique, integrated with digital holographic reconstruction, perform detailed layer-by-layer analysis partially depolarizing dry smears. allows us extract critical parameters, enabling differentiation films from healthy individuals prostate cancer patients. uniquely combines polarization-holographic differential methodologies spatially characterize structures within films. A key advancement our is quantitative evaluation maps using statistical moments (first fourth orders) linear circular birefringence dichroism distributions. provides comprehensive characterization mean, variance, skewness, kurtosis these distributions, crucial identifying significant differences between cancerous samples. findings demonstrate an exceptional accuracy rate over $$90\%$$ 90 % diagnosis staging cancer, surpassing existing screening methods. high level precision non-invasive nature mark field biopsies. It holds immense potential revolutionizing diagnosis, detection, patient stratification, monitoring, thereby greatly enhancing care treatment outcomes. In conclusion, contributes pioneering biopsy domain, aligning ongoing quest non-invasive, reliable, efficient diagnostic opens new avenues representing substantial leap forward personalized medicine oncology.

Language: Английский

DEEP LEARNING-ENABLED QUANTUM IMAGING: FUTURE-READY NANOSENSING TECHNOLOGIES FOR PREVENTIVE HEALTH INTERVENTIONS

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100053 - 100053

Published: May 1, 2025

Language: Английский