Advancements in photothermal mid-infrared spectroscopic imaging for biomedical diagnostics

Photothermal mid-infrared spectroscopic imaging (MIRSI) is emerging as a crucial technology for profiling diseased tissue and clinical diagnostics. Leveraging advancements in Quantum Cascade Lasers (QCLs) and machine learning, MIRSI offers sub-micron resolution and label-free, quantitative differentiation of tissue subtypes and cancer classifications, outperforming traditional FT-IR imaging. This method enhances diagnostics for diseases like myelofibrosis, lupus nephritis, and gynecologic cancers. For lupus nephritis, MIRSI improves diagnosis beyond immunohistochemical (IHC) labeling. In ovarian cancer, it enables precise tissue segmentation. Additionally, MIRSI identifies bone conditions like osteosclerosis and uses polarization techniques to assess bone marrow fibrosis, discerning thin collagen fibers.

Authors

Institutions

Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3040885
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in photothermal mid-infrared spectroscopic imaging for biomedical diagnostics

David Mayerich, Reza Reihani, Chalapathi Gajjela, Xinyu Wu et al.
Spectroscopy Techniques in Biomedical and Chemical Research
article

Advancements in photothermal mid-infrared spectroscopic imaging for biomedical diagnostics

David Mayerich, Reza Reihani, Chalapathi Gajjela, Xinyu Wu, Ragib Ishrak, Rohith Reddy
article en

Abstract

Photothermal mid-infrared spectroscopic imaging (MIRSI) is emerging as a crucial technology for profiling diseased tissue and clinical diagnostics. Leveraging advancements in Quantum Cascade Lasers (QCLs) and machine learning, MIRSI offers sub-micron resolution and label-free, quantitative differentiation of tissue subtypes and cancer classifications, outperforming traditional FT-IR imaging. This method enhances diagnostics for diseases like myelofibrosis, lupus nephritis, and gynecologic cancers. For lupus nephritis, MIRSI improves diagnosis beyond immunohistochemical (IHC) labeling. In ovarian cancer, it enables precise tissue segmentation. Additionally, MIRSI identifies bone conditions like osteosclerosis and uses polarization techniques to assess bone marrow fibrosis, discerning thin collagen fibers.

University of Houston (US)
Openalex Percentile: Top 96%
Spectroscopy Techniques in Biomedical and Chemical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.