Polarization Sensitive Photothermal Mid-Infrared Spectroscopic Imaging of Human Bone Marrow Tissue. Issue 4 (April 2022)

• Record Type: Journal Article
• Authors: Mankar, Rupali; Gajjela, Chalapathi C.; Bueso-Ramos, Carlos E.; Yin, C. Cameron; Mayerich, David; Reddy, Rohith K.
• Is Part Of: Applied spectroscopy. Volume 76:Issue 4(2022)
• Page Start: 508
• Page End: 518
• Publication Date: 2022-04
• Subjects: Collagen -- photothermal infrared imaging -- mid-infrared spectroscopic imaging -- MIRSI -- bone marrow -- myelofibrosis -- IR spectroscopic imaging -- optical photothermal IR -- O-PTIR -- polarization -- vector computation; Spectrum analysis -- Periodicals; 543.505
• DOI: 10.1177/00037028211063513
• Languages: English
• ISSNs: 0003-7028

Abstract

Collagen quantity and integrity play an important role in understanding diseases such as myelofibrosis (MF). Label-free mid-infrared spectroscopic imaging (MIRSI) has the potential to quantify collagen while minimizing the subjective variance observed with conventional histopathology. Infrared (IR) spectroscopy with polarization sensitivity provides chemical information while also estimating tissue dichroism. This can potentially aid MF grading by revealing the structure and orientation of collagen fibers. Simultaneous measurement of collagen structure and biochemical properties can translate clinically into improved diagnosis and enhance our understanding of disease progression. In this paper, we present the first report of polarization-dependent spectroscopic variations in collagen from human bone marrow samples. We build on prior work with animal models and extend it to human clinical biopsies with a practical method for high-resolution chemical and structural imaging of bone marrow on clinical glass slides. This is done using a new polarization-sensitive photothermal mid-infrared spectroscopic imaging scheme that enables sample and source independent polarization control. This technology provides 0.5 µm spatial resolution, enabling the identification of thin (≈1 µm) collagen fibers that were not separable using Fourier Transform Infrared (FT-IR) imaging in the fingerprint region at diffraction-limited resolution ( ≈ 5 µm). Finally, we propose quantitative metrics to identify fiber orientation from discrete band images (amide I and amide II) measured under three polarizations. Previous studies have used a pair of orthogonal polarization measurements, which is insufficient for clinical samples since human bone biopsies contain collagen fibers with multiple orientations. Here, we address this challenge and demonstrate that three polarization measurements are necessary to resolve orientation ambiguity in clinical bone marrow samples. This is also the first study to demonstrate the ability to spectroscopically identify thin collagen fibers (≈1 µm diameter) and their orientations, which is critical for accurate grading of human bone marrow fibrosis. Graphical Abstract