J
Jia Wang
Researcher at Huazhong University of Science and Technology
Publications - 8
Citations - 216
Jia Wang is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Speckle imaging & Speckle pattern. The author has an hindex of 8, co-authored 8 publications receiving 187 citations.
Papers
More filters
Journal ArticleDOI
Spatiotemporal laser speckle contrast analysis for blood flow imaging with maximized speckle contrast.
TL;DR: It is suggested that STLASCA most effectively utilizes the number of pixels, thus achieving maximized speckle contrast, and thereby maximizing the variation of the laser speckel contrast image.
Journal ArticleDOI
Dual-wavelength laser speckle imaging to simultaneously access blood flow, blood volume, and oxygenation using a color CCD camera
TL;DR: A dual-wavelength laser speckle imaging system using a single industrial-grade color CCD camera with Bayer filters to simultaneously image changes in blood flow, blood volume, and oxygenation achieves complete time synchronization, unlike conventional time-sharing systems.
Journal ArticleDOI
Lateral laser speckle contrast analysis combined with line beam scanning illumination to improve the sampling depth of blood flow imaging
TL;DR: Both the phantom and animal experimental results suggest that localized illumination and lateral speckle contrast analysis can significantly enhance the deep blood flow signal to improve the sampling depth of laser specksle contrast imaging compared with the traditional full-field illumination laser speckles contrast analysis method.
Journal ArticleDOI
Extendable, miniaturized multi-modal optical imaging system: cortical hemodynamic observation in freely moving animals
TL;DR: An extendable fiber-optic-based multi-modal imaging system that can concurrently carry out laser speckle contrast imaging of blood flow and optical intrinsic signal (OIS) imaging in freely moving animals, and it could be extended to fluorescence imaging to explore animal behavior and the underlying brain functional activity further.
Journal ArticleDOI
GPU accelerated electric field Monte Carlo simulation of light propagation in turbid media using a finite-size beam model
TL;DR: In this paper, a parallel implementation of the electric field Monte Carlo simulation based on the compute unified device architecture (CUDA) running on a graphics processing unit (GPU) is presented.