scholarly journals Lens-free motion analysis via neuromorphic laser speckle imaging

2022 ◽  
Author(s):  
ZHOU GE ◽  
Pei Zhang ◽  
Yizhao Gao ◽  
Hayden K.H. So ◽  
Edmund Lam
Keyword(s):  
Motion Analysis ◽  
Laser Speckle ◽  
Free Motion ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals Simple correction factor for laser speckle imaging of flow dynamics

2014 ◽  
Vol 39 (3) ◽  
pp. 678 ◽  
Author(s):  
J. C. Ramirez-San-Juan ◽  
R. Ramos-Garcia ◽  
G. Martinez-Niconoff ◽  
B. Choi
Keyword(s):  
Correction Factor ◽  
Flow Dynamics ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

Laser speckle imaging reveals bacterial activity within colony

2021 ◽  
Author(s):  
Ilya Balmages ◽  
Janis Liepins ◽  
Dmitrijs Bliznuks ◽  
Stivens Zolins ◽  
Ilze Lihacova ◽  
...  
Keyword(s):  
Bacterial Activity ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals Application of optical flow algorithms to laser speckle imaging

2019 ◽  
Vol 122 ◽  
pp. 52-59 ◽  
Author(s):  
AmirHessam Aminfar ◽  
Nami Davoodzadeh ◽  
Guillermo Aguilar ◽  
Marko Princevac
Keyword(s):  
Optical Flow ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals Fourier transforms for fast and quantitative Laser Speckle Imaging

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
J. Buijs ◽  
J. van der Gucht ◽  
J. Sprakel
Keyword(s):  
Quantitative Data ◽  
Fourier Transforms ◽  
Imaging Technique ◽  
Laser Speckle ◽  
Frequency Range ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
New Approach ◽  
Speckle Patterns ◽  
New Processing

Abstract Laser speckle imaging is a powerful imaging technique that visualizes microscopic motion within turbid materials. At current two methods are widely used to analyze speckle data: one is fast but qualitative, the other quantitative but computationally expensive. We have developed a new processing algorithm based on the fast Fourier transform, which converts raw speckle patterns into maps of microscopic motion and is both fast and quantitative, providing a dynamnic spectrum of the material over a frequency range spanning several decades. In this article we show how to apply this algorithm and how to measure a diffusion coefficient with it. We show that this method is quantitative and several orders of magnitude faster than the existing quantitative method. Finally we harness the potential of this new approach by constructing a portable laser speckle imaging setup that performs quantitative data processing in real-time on a tablet.

scholarly journals Characterization of Atherosclerotic Plaques by Laser Speckle Imaging

Circulation ◽  
2005 ◽  
Vol 112 (6) ◽  
pp. 885-892 ◽  
Author(s):  
Seemantini K. Nadkarni ◽  
Brett E. Bouma ◽  
Tina Helg ◽  
Raymond Chan ◽  
Elkan Halpern ◽  
...  
Keyword(s):  
Laser Speckle ◽  
Atherosclerotic Plaques ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals The Role of Laser Speckle Imaging in Port-Wine Stain Research: Recent Advances and Opportunities

2016 ◽  
Vol 22 (3) ◽  
pp. 307-318 ◽  
Author(s):  
Bernard Choi ◽  
Wenbin Tan ◽  
Wangcun Jia ◽  
Sean M. White ◽  
Wesley J. Moy ◽  
...  
Keyword(s):  
Laser Speckle ◽  
Port Wine Stain ◽  
Port Wine ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
Recent Advances ◽  
Stain Research

Laser Speckle Imaging

2012 ◽  
pp. 517-523 ◽  
Author(s):  
Nils Hecht ◽  
Ulf C. Schneider ◽  
Johannes Woitzik ◽  
Peter Vajkoczy
Keyword(s):  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging
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