Evidence map›Paper›PMID 27930773›Full record

ArticleJournal of biomedical optics2016

Penetration depth of photons in biological tissues from hyperspectral imaging in shortwave infrared in transmission and reflection geometries.

Hairong Zhang, Daniel Salo, David M Kim, Sergey Komarov, Yuan-Chuan Tai, Mikhail Y Berezin

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  11. Review
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  17. A Robust NSCLC Biomarker- miR-7-5p: ItsMicroRNA (Shariqah, United Arab Emirates) · 2025
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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.

Hairong ZhangWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Daniel SaloWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
David M KimWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Sergey KomarovWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Yuan-Chuan TaiWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.
Mikhail Y BerezinWashington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States.

Funding

ASSESSMENT OF CHEMOTHERAPY-INDUCED PERIPHERAL NEUROPATHY WITH ACTIVABLE PROBESR21CA198419 · NCI · WASHINGTON UNIVERSITY · PI BEREZIN, MIKHAIL Y. · 2015 to 2016
$365k
FLUORESCENCE SPECTROPHOTOMETER IN NIR RANGE FOR BIOLOGICAL AND MEDICAL APPLICATIOS10RR031621 · NCRR · WASHINGTON UNIVERSITY · PI BEREZIN, MIKHAIL Y. · 2011 to 2011
$292k
NCI NIH HHS R21 CA198419NCRR NIH HHS S10 RR031621
6 · The paper itself

Abstract

Measurement of photon penetration in biological tissues is a central theme in optical imaging. A great number of endogenous tissue factors such as absorption, scattering, and anisotropy affect the path of photons in tissue, making it difficult to predict the penetration depth at different wavelengths. Traditional studies evaluating photon penetration at different wavelengths are focused on tissue spectroscopy that does not take into account the heterogeneity within the sample. This is especially critical in shortwave infrared where the individual vibration-based absorption properties of the tissue molecules are affected by nearby tissue components. We have explored the depth penetration in biological tissues from 900 to 1650 nm using Monte–Carlo simulation and a hyperspectral imaging system with Michelson spatial contrast as a metric of light penetration. Chromatic aberration-free hyperspectral images in transmission and reflection geometries were collected with a spectral resolution of 5.27 nm and a total acquisition time of 3 min. Relatively short recording time minimized artifacts from sample drying. Results from both transmission and reflection geometries consistently revealed that the highest spatial contrast in the wavelength range for deep tissue lies within 1300 to 1375 nm; however, in heavily pigmented tissue such as the liver, the range 1550 to 1600 nm is also prominent.

Indexed as

PhotonsAnimalsChickensComputer SimulationImage Processing, Computer-AssistedLiverModels, BiologicalMonte Carlo MethodMusclesPhantoms, ImagingSpectroscopy, Near-Infrared

Identifiers

PMID27930773
PMCPMC5147011

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.