Evidence map›Paper›PMID 38789499›Full record

ArticleScientific reports2024

Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy.

Tom Y Cheng, Byungchan Kim, Bernhard B Zimmermann, Mitchell B Robinson, Marco Renna, Stefan A Carp, Maria Angela Franceschini, David A Boas, Xiaojun Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Tom Y Cheng *Department of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, 02215, USA.
Byungchan Kim *Department of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, 02215, USA.
Bernhard B ZimmermannDepartment of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, 02215, USA.
Mitchell B RobinsonDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Marco RennaDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Stefan A CarpDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Maria Angela FranceschiniDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
David A BoasDepartment of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, 02215, USA.
Xiaojun ChengDepartment of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, 02215, USA. xcheng17@bu.edu.

Funding

A transformative method for functional brain imaging with Speckle Contrast Optical SpectroscopyUG3EB034710 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, CHENG, XIAOJUN · 2023 to 2025
$1.1M
NIBIB NIH HHS UG3 EB034710NIH HHS UG3-EB034710-01
6 · The paper itself

Abstract

Speckle contrast optical spectroscopy (SCOS) is an emerging camera-based technique that can measure human cerebral blood flow (CBF) with high signal-to-noise ratio (SNR). At low photon flux levels typically encountered in human CBF measurements, camera noise and nonidealities could significantly impact SCOS measurement SNR and accuracy. Thus, a guide for characterizing, selecting, and optimizing a camera for SCOS measurements is crucial for the development of next-generation optical devices for monitoring human CBF and brain function. Here, we provide such a guide and illustrate it by evaluating three commercially available complementary metal-oxide-semiconductor cameras, considering a variety of factors including linearity, read noise, and quantization distortion. We show that some cameras that are well-suited for general intensity imaging could be challenged in accurately quantifying spatial contrast for SCOS. We then determine the optimal operating parameters for the preferred camera among the three and demonstrate measurement of human CBF with this selected low-cost camera. This work establishes a guideline for characterizing and selecting cameras as well as for determining optimal parameters for SCOS systems.

Indexed as

Cerebrovascular CirculationSignal-To-Noise RatioSpectrum AnalysisBrainHumans

Identifiers

PMID38789499
PMCPMC11126420

What Socratic holds

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LicenceCC BY
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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 Socratic graph.