scholarly journals Visualization of fast-moving cells in vivo using digital holographic video microscopy

2008 ◽  
Vol 13 (1) ◽  
pp. 014007 ◽  
Author(s):  
Hongyue Sun ◽  
Bing Song ◽  
Hongpai Dong ◽  
Brian Reid ◽  
Michael A. Player ◽  
...  
Keyword(s):  
Fast Moving ◽  
Video Microscopy ◽  
Holographic Video Microscopy

scholarly journals Two-step machine learning method for the rapid analysis of microvascular flow in intravital video microscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ossama Mahmoud ◽  
Mahmoud El-Sakka ◽  
Barry G. H. Janssen
Keyword(s):  
Machine Learning ◽  
Blood Flow ◽  
Human Error ◽  
Image Data ◽  
Video Microscopy ◽  
Microvascular Blood Flow ◽  
Image Processing Algorithm ◽  
Step Algorithm ◽  
3D Cnn

AbstractMicrovascular blood flow is crucial for tissue and organ function and is often severely affected by diseases. Therefore, investigating the microvasculature under different pathological circumstances is essential to understand the role of the microcirculation in health and sickness. Microvascular blood flow is generally investigated with Intravital Video Microscopy (IVM), and the captured images are stored on a computer for later off-line analysis. The analysis of these images is a manual and challenging process, evaluating experiments very time consuming and susceptible to human error. Since more advanced digital cameras are used in IVM, the experimental data volume will also increase significantly. This study presents a new two-step image processing algorithm that uses a trained Convolutional Neural Network (CNN) to functionally analyze IVM microscopic images without the need for manual analysis. While the first step uses a modified vessel segmentation algorithm to extract the location of vessel-like structures, the second step uses a 3D-CNN to assess whether the vessel-like structures have blood flowing in it or not. We demonstrate that our two-step algorithm can efficiently analyze IVM image data with high accuracy (83%). To our knowledge, this is the first application of machine learning for the functional analysis of microvascular blood flow in vivo.

scholarly journals An automated method for analysis of flow characteristics of circulating particles from in vivo video microscopy

2005 ◽  
Vol 24 (8) ◽  
pp. 1011-1024 ◽  
Author(s):  
E. Eden ◽  
D. Waisman ◽  
M. Rudzsky ◽  
H. Bitterman ◽  
V. Brod ◽  
...  
Keyword(s):  
Flow Characteristics ◽  
Video Microscopy ◽  
Automated Method

In vivo multimodality video microscopy of human skin in the vertical plane (Conference Presentation)

2016 ◽  
Author(s):  
Zhenguo Wu ◽  
Yunxian Tian ◽  
Jianhua Zhao ◽  
Harvey Lui ◽  
David I. McLean ◽  
...  
Keyword(s):  
Human Skin ◽  
Vertical Plane ◽  
Video Microscopy

scholarly journals Flow visualization and flow cytometry with holographic video microscopy

2009 ◽  
Vol 17 (15) ◽  
pp. 13071 ◽  
Author(s):  
Fook Chiong Cheong ◽  
Bo Sun Rémi Dreyfus ◽  
Jesse Amato-Grill ◽  
Ke Xiao ◽  
Lisa Dixon ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Flow Visualization ◽  
Video Microscopy ◽  
Holographic Video Microscopy

scholarly journals Intraluminal crawling of neutrophils to emigration sites: a molecularly distinct process from adhesion in the recruitment cascade

2006 ◽  
Vol 203 (12) ◽  
pp. 2569-2575 ◽  
Author(s):  
Mia Phillipson ◽  
Bryan Heit ◽  
Pina Colarusso ◽  
Lixin Liu ◽  
Christie M. Ballantyne ◽  
...  
Keyword(s):  
Adhesion Molecule ◽  
Molecular Mechanisms ◽  
Time Lapse ◽  
Intercellular Adhesion ◽  
Video Microscopy ◽  
Intercellular Adhesion Molecule ◽  
Wild Type ◽  
Intercellular Adhesion Molecule 1 ◽  
Inflammatory Protein

The prevailing view is that the β2-integrins Mac-1 (αMβ2, CD11b/CD18) and LFA-1 (αLβ2, CD11a/CD18) serve similar biological functions, namely adhesion, in the leukocyte recruitment cascade. Using real-time and time-lapse intravital video-microscopy and confocal microscopy within inflamed microvessels, we systematically evaluated the function of Mac-1 and LFA-1 in the recruitment paradigm. The chemokine macrophage inflammatory protein-2 induced equivalent amounts of adhesion in wild-type and Mac-1−/− mice but very little adhesion in LFA-1−/− mice. Time-lapse video-microscopy within the postcapillary venules revealed that immediately upon adhesion, there is significant intraluminal crawling of all neutrophils to distant emigration sites in wild-type mice. In dramatic contrast, very few Mac-1−/− neutrophils crawled with a 10-fold decrease in displacement and a 95% reduction in velocity. Therefore, Mac-1−/− neutrophils initiated transmigration closer to the initial site of adhesion, which in turn led to delayed transmigration due to movement through nonoptimal emigration sites. Interestingly, the few LFA-1−/− cells that did adhere crawled similarly to wild-type neutrophils. Intercellular adhesion molecule-1 but not intercellular adhesion molecule-2 mediated the Mac-1–dependent crawling. These in vivo results clearly delineate two fundamentally different molecular mechanisms for LFA-1 and Mac-1 in vivo, i.e., LFA-1–dependent adhesion followed by Mac-1–dependent crawling, and both steps ultimately contribute to efficient emigration out of the vasculature.

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