Evidence map›Paper›PMID 25650759›Full record

ArticleJournal of visualized experiments : JoVE2015

High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging of human tissue sections towards improving pathology.

Hari Sreedhar, Vishal K Varma, Peter L Nguyen, Bennett Davidson, Sanjeev Akkina, Grace Guzman, Suman Setty, Andre Kajdacsy-Balla, Michael J Walsh

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Evaluation of Proteomic and Lipidomic Changes inInternational journal of molecular sciences · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Biochemical similarity between cultured chondrocytes andBiotechnology reports (Amsterdam, Netherlands) · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. 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

9 authors.

Hari SreedharDepartment of Bioengineering, University of Illinois at Chicago.
Vishal K VarmaDepartment of Bioengineering, University of Illinois at Chicago.
Peter L NguyenDepartment of Pathology, University of Illinois at Chicago.
Bennett DavidsonDepartment of Biological Sciences, University of Illinois at Chicago; Department of Chemistry, University of Illinois at Chicago.
Sanjeev AkkinaDepartment of Nephrology, University of Illinois at Chicago.
Grace GuzmanDepartment of Pathology, University of Illinois at Chicago.
Suman SettyDepartment of Pathology, University of Illinois at Chicago.
Andre Kajdacsy-BallaDepartment of Pathology, University of Illinois at Chicago.
Michael J WalshDepartment of Pathology, University of Illinois at Chicago; walshm@uic.edu.

Funding

Novel Biomarkers in Interstitial Fibrosis/Tubular Atrophy in Kidney TransplantsK23DK084121 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AKKINA, SANJEEV KUMAR · 2009 to 2013
$760k
NIDDK NIH HHS K23 DK084121
6 · The paper itself

Abstract

High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging is an emerging approach to obtain detailed images that have associated biochemical information. FT-IR imaging of tissue is based on the principle that different regions of the mid-infrared are absorbed by different chemical bonds (e.g., C=O, C-H, N-H) within cells or tissue that can then be related to the presence and composition of biomolecules (e.g., lipids, DNA, glycogen, protein, collagen). In an FT-IR image, every pixel within the image comprises an entire Infrared (IR) spectrum that can give information on the biochemical status of the cells that can then be exploited for cell-type or disease-type classification. In this paper, we show: how to obtain IR images from human tissues using an FT-IR system, how to modify existing instrumentation to allow for high-definition imaging capabilities, and how to visualize FT-IR images. We then present some applications of FT-IR for pathology using the liver and kidney as examples. FT-IR imaging holds exciting applications in providing a novel route to obtain biochemical information from cells and tissue in an entirely label-free non-perturbing route towards giving new insight into biomolecular changes as part of disease processes. Additionally, this biochemical information can potentially allow for objective and automated analysis of certain aspects of disease diagnosis.

Indexed as

Diagnostic ImagingFourier AnalysisHumansKidneyLiverPathologySpectroscopy, Fourier Transform Infrared

Identifiers

PMID25650759
PMCPMC4395079

What OpenQuestion holds

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Registered trials

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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.