Related Experiment Video
Updated: Jun 27, 2026

07:19
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
Published on: June 28, 2017
10.8K
FPGA-based dual-channel readout and centroid algorithm for cross-strip anode photon detectors
Cong Qiao1, Wen-Wen Zhang1, Jin-Kun Zheng2
1Xi'an University of Posts and Telecommunications, Xi'an 710121, China.
The Review of Scientific Instruments
|March 26, 2026
Summary
This study introduces a new FPGA-based system for faster centroid calculation in single-photon detectors. The advanced architecture significantly improves processing speed and spatial resolution for high-resolution imaging.
Area of Science:
- Photonics and Detector Technology
- Digital Signal Processing
- High-Resolution Imaging Systems
Background:
- Crossed-strip anode single-photon detectors are vital for 2D localization in optical imaging.
- Conventional readout architectures face bandwidth and latency limitations at high count rates, hindering real-time analysis.
- Efficient centroid computation is crucial for accurate spatial reconstruction in photon imaging.
Purpose of the Study:
- To develop an FPGA-based dual-channel signal processing architecture for high-speed centroid extraction.
- To overcome bandwidth and latency limitations in conventional readout schemes.
- To enhance real-time processing capabilities for crossed-strip anode detectors.
Main Methods:
- Integration of an application-specific integrated circuit charge-sensitive preamplifier and a 14-bit ADC for signal digitization.
- Implementation of parallel fast and slow signal processing channels for triggering, pileup rejection, and peak extraction.
- Utilization of a sliding-window approach and a symmetric weighted centroid algorithm for spatial coordinate reconstruction.
Main Results:
- The proposed architecture achieves a stable event rate exceeding 15 MHz.
- Demonstrated spatial resolution of 20.16 line pairs per millimeter (lp/mm).
- Improved centroid accuracy and processing throughput compared to conventional methods.
Conclusions:
- The FPGA-based dual-channel architecture effectively addresses limitations in high count-rate photon imaging.
- The system enables real-time, high-resolution photon imaging applications.
- Validated feasibility for advanced optical imaging systems requiring precise event localization.

