Paperdoi:10.1038/s41598-024-62106-y

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

Venue listed2024Added Oct 29, 2026

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Authors: Tom Y. Cheng, Byungchan Kim, Bernhard B Zimmermann, Mitchell B. Robinson, Marco Renna, Stefan A. Carp, Maria Angela Franceschini, David A. Boas, Xiaojun Cheng (Boston University; Harvard University)

Scientific Reports 14(1):11915, 2024

TL;DR

A practical guide to choosing and tuning a camera for speckle contrast optical spectroscopy. Testing three commercial CMOS cameras showed that linearity, read noise and quantization distortion determine how accurately speckle contrast is measured at low light, and that some cameras that are fine for ordinary imaging are poor for speckle work.

  • Form factor: lab

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.

Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0

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Tasks & signals

Signals

Keywords

Speckle PlethysmographyCameraCmosRead NoiseQuantizationHardwareBoston University

How it works

How Method works: Setup → Method → TargetSetup: Signals (SCOS); Form factor (lab). Method: Method.SetupSignals: SCOSSignalsSCOSForm factor: labForm factorlabMethodMethod

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Cheng, T. Y., Kim, B., Zimmermann, B. B., Robinson, M. B., Renna, M., Carp, S. A., Franceschini, M. A., Boas, D. A., & Cheng, X. (2024). Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy. Scientific Reports , 2024, 14(1), 11915. https://doi.org/10.1038/s41598-024-62106-y
Cheng, Tom Y., Byungchan Kim, Bernhard B Zimmermann, Mitchell B. Robinson, Marco Renna, Stefan A. Carp, Maria Angela Franceschini, David A. Boas, and Xiaojun Cheng. 2024. "Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy." Scientific Reports , 2024 14 (1): 11915. https://doi.org/10.1038/s41598-024-62106-y.
Cheng, T. Y., Kim, B., Zimmermann, B. B., Robinson, M. B., Renna, M., Carp, S. A., Franceschini, M. A., Boas, D. A. and Cheng, X. (2024) 'Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy', Scientific Reports , 2024, 14(1), p. 11915. doi: 10.1038/s41598-024-62106-y.
Cheng, Tom Y., et al. "Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy." Scientific Reports , 2024, vol. 14, no. 1, 2024, p. 11915. https://doi.org/10.1038/s41598-024-62106-y.
T. Y. Cheng et al., "Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy," Scientific Reports , 2024, vol. 14, no. 1, p. 11915, 2024, doi: 10.1038/s41598-024-62106-y.
@article{cheng2024choosing,
  title         = {{Choosing a camera and optimizing system parameters for speckle contrast optical spectroscopy}},
  author        = {Cheng, Tom Y. and Kim, Byungchan and Zimmermann, Bernhard B. and Robinson, Mitchell B. and Renna, Marco and Carp, Stefan A. and Franceschini, Maria Angela and Boas, David A. and Cheng, Xiaojun},
  year          = {2024},
  journal       = {Scientific Reports , 2024},
  volume        = {14},
  number        = {1},
  pages         = {11915},
  doi           = {10.1038/s41598-024-62106-y}
}

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