ATLAS: a large array, on-chip compute SPAD camera for multispeckle diffuse correlation spectroscopy
- Alistair Gorman 1, Neil Finlayson 1, Ahmet T Erdogan 1, Lars Fisher 1, Yining Wang 1, Francescopaolo Mattioli Della Rocca 1,2, Hanning Mai 1,2, Edbert J Sie 3, Francesco Marsili 3, Robert K Henderson 1
- 1Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Edinburgh, UK.
- 2Currently with Sony Europe Technology Development Centre, 38123 Trento, Italy.
- 3Reality Labs, Meta Platforms Inc., Menlo Park, CA 94025, USA.
- 0Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Edinburgh, UK.
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View abstract on PubMed
Summary
This summary is machine-generated.The ATLAS sensor enables real-time, on-chip computation for single-photon correlation spectroscopy. This technology is suitable for in-vivo diffuse correlation spectroscopy (DCS) measurements of tissue dynamics.
Area Of Science
- Photonics
- Biomedical Engineering
- Integrated Circuits
Background
- Single-photon avalanche diode (SPAD) arrays are crucial for optical sensing.
- Diffuse Correlation Spectroscopy (DCS) requires efficient computation of autocorrelation functions.
- Existing methods for DCS can be computationally intensive and lack real-time processing capabilities.
Purpose Of The Study
- To introduce ATLAS, a novel 512x512 SPAD array with embedded autocorrelation computation.
- To enable real-time, on-chip processing for single-photon correlation spectroscopy applications.
- To demonstrate the suitability of ATLAS for in-vivo diffuse correlation spectroscopy (DCS) measurements.
Main Methods
- Implementation of a 512x512 SPAD array using 3D-stacked CMOS technology.
- Development of a shared per-macropixel SRAM architecture for parallel autocorrelation computation.
- Utilizing a minimum autocorrelation lag-time of 1 µs for high temporal resolution.
Main Results
- Demonstration of direct, on-chip computation of the autocorrelation function.
- Successful resolution of decorrelation time changes in body tissue in real time.
- Achieved long source-detector separations comparable to leading optical modalities for cerebral blood flow monitoring.
Conclusions
- The ATLAS sensor facilitates real-time, on-chip DCS measurements.
- The system is validated for in-vivo measurements, including cuff-occlusion and forehead cardiac signals.
- ATLAS shows significant potential for advancing non-invasive monitoring of tissue dynamics and blood flow.
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