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Selecting the right camera is crucial for accurate speckle contrast optical spectroscopy (SCOS) measurements of cerebral blood flow (CBF). This study guides camera selection and optimization for improved SCOS performance.

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Area of Science:

  • Biomedical Optics
  • Neuroimaging
  • Optical Instrumentation

Background:

  • Speckle contrast optical spectroscopy (SCOS) is a camera-based method for measuring cerebral blood flow (CBF).
  • Camera noise and nonidealities at low photon flux can degrade SCOS accuracy in human CBF monitoring.
  • Optimizing camera selection is vital for advancing optical devices for brain function monitoring.

Purpose of the Study:

  • To provide a comprehensive guide for characterizing, selecting, and optimizing cameras for SCOS measurements.
  • To evaluate the suitability of commercially available cameras for accurate SCOS-based CBF quantification.
  • To establish optimal operating parameters for SCOS systems using low-cost cameras.

Main Methods:

  • Evaluation of three complementary metal-oxide-semiconductor (CMOS) cameras based on linearity, read noise, and quantization distortion.
  • Assessment of camera performance for spatial contrast quantification in SCOS.
  • Determination of optimal operating parameters for the selected camera.

Main Results:

  • Not all cameras suitable for general imaging perform well in SCOS due to challenges in quantifying spatial contrast.
  • A preferred low-cost camera was identified and its optimal operating parameters were determined.
  • Successful measurement of human CBF was demonstrated using the selected camera and optimized parameters.

Conclusions:

  • A systematic guideline for camera selection and parameter optimization in SCOS is established.
  • This work facilitates the development of next-generation optical devices for monitoring human CBF and brain function.
  • The findings enable accurate and reliable SCOS measurements using optimized, cost-effective camera technology.