9 papers
Histogramless Time-Domain Sketched Fluorescence Lifetime Imaging
Zhenya Zang, Istvan Gyongy, Mike Davies
We present a statistics-aware compression strategy that processes photon timestamps directly from time-correlated single-photon counting (TCSPC) modules for time-domain fluorescenc…
On-Device Super Resolution Imaging Using Low-Cost SPAD Array and Embedded Lightweight Deep Learning
Zhenya Zang, Xingda Li, David Day Uei Li
This work presents a lightweight super-resolution (LiteSR) neural network for depth and intensity images acquired from a consumer-grade single-photon avalanche diode (SPAD) array w…
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining
Zhenya Zang, David A Dorward, Katherine E Quiohilag +4
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essential step in guiding treatment options and prognosis. However, current clinical p…
FPGA Implementation of Sketched LiDAR for a 192 x 128 SPAD Image Sensor
Zhenya Zang, Mike Davies, Istvan Gyongy
This study presents an efficient field-programmable gate array (FPGA) implementation of a polynomial spline function-based statistical compression algorithm designed to address the…
Online Learning Extreme Learning Machine with Low-Complexity Predictive Plasticity Rule and FPGA Implementation
Zhenya Zang, Xingda Li, David Day Uei Li
We propose a simplified, biologically inspired predictive local learning rule that eliminates the need for global backpropagation in conventional neural networks and membrane integ…
Cerebral blood flow monitoring using a deep learning implementation of the two-layer DCS analytical model with a 512x512 SPAD array
Mingliang Pan, Chenxu Li, Yuanzhe Zhang +8
Diffuse correlation spectroscopy (DCS) analyzes the autocorrelation function of photons scattered by red blood cells, enabling non-invasive, continuous measurement of deep tissue b…