Evidence map›Paper›PMID 35236126›Full record

ArticleApplied spectroscopy2022

Polarization Sensitive Photothermal Mid-Infrared Spectroscopic Imaging of Human Bone Marrow Tissue.

Rupali Mankar, Chalapathi C Gajjela, Carlos E Bueso-Ramos, C Cameron Yin, David Mayerich, Rohith K Reddy

Open access · greenAbstract read
In one paragraph

Article in Applied spectroscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  15. Digital Histopathology by Infrared Spectroscopic Imaging.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023
    Review
  16. Article
  17. Article
  18. High-sensitivity hyperspectral vibrational imaging of heart tissues by mid-infrared photothermal microscopy.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022
    Article
  19. Resolution Limit in Infrared Chemical Imaging.The journal of physical chemistry. C, Nanomaterials and interfaces · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Rupali MankarDepartment of Electrical and Computer Engineering, 14743University of Houston, Houston, TX, USA.
Chalapathi C GajjelaDepartment of Electrical and Computer Engineering, 14743University of Houston, Houston, TX, USA.
Carlos E Bueso-RamosDepartment of Hematopathology, 4002The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
C Cameron YinDepartment of Hematopathology, 4002The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David MayerichDepartment of Electrical and Computer Engineering, 14743University of Houston, Houston, TX, USA.ORCID https://orcid.org/0000-0002-3949-6133
Rohith K ReddyDepartment of Electrical and Computer Engineering, 14743University of Houston, Houston, TX, USA.ORCID https://orcid.org/0000-0002-4403-5614
University of Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Structural and Molecular Phenotyping of Embryonic Development through Multi-Modal Optical ImagingR01HL146745 · NHLBI · UNIVERSITY OF HOUSTON · PI MAYERICH, DAVID · 2019 to 2023
$3.7M
NHLBI NIH HHS R01 HL146745NLM NIH HHS T15 LM007093
6 · The paper itself

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.

Indexed as

Bone MarrowCollagenAmidesHumansSpectrophotometry, InfraredSpectroscopy, Fourier Transform InfraredAmidesCollagenbone marrowCollagenIR spectroscopic imagingmid-infrared spectroscopic imagingMIRSImyelofibrosisoptical photothermal IRO-PTIRphotothermal infrared imagingpolarizationvector computation

Identifiers

PMID35236126
PMCPMC10074826
OpenAlexW4214827333

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.