NDLI: Rapid vision-based shape and motion analysis system for fast-flowing cells in a microchannel

Content Provider	IEEE Xplore Digital Library
Author	Qingyi Gu Aoyama, T. Takaki, T. Ishii, I.
Copyright Year	2014
Description	Author affiliation: Dept. of Syst. Cybern., Hiroshima Univ., Higashi-Hiroshima, Japan (Qingyi Gu; Aoyama, T.; Takaki, T.; Ishii, I.)
Abstract	This paper proposes a novel method for simultaneous cell shape and motion analysis in rapid microchannel flows based on a multi-object feature extraction algorithm with a frame-straddling high-speed vision platform. This system can synchronize two camera inputs that share the same view with only a very small sub-microsecond time delay. Real-time video processing is performed using the hardware logic by extracting the moment features of multiple cells at 2000 fps or more, which are obtained from the two camera inputs, and their frame-straddling time can be adjusted from 0 to 0.5 ms in 9.9 ns steps. After setting the frame-straddling time within a certain range to avoid large image displacements between the two camera inputs, the frame-straddling high-speed vision platform can perform simultaneous shape and motion analysis of cells in fast microchannel flows of 1 m/s or greater. The results of real-time experiments conducted to analyze the deformabilities, velocities, and shapes of fast-flowing sea urchin egg cells in straight and L-type microchannels verified the efficacy of our vision-based cell analysis system.
Starting Page	5848
Ending Page	5853
File Size	1381454
Page Count	6
File Format	PDF
ISBN	9781479936854
DOI	10.1109/ICRA.2014.6907719
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Microchannels Head Shape Feature extraction Delay effects Real-time systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel

Real-time LOC-based morphological cell analysis system using high-speed vision

Real-Time People Counting Using Multiple Lines

Vision-based real-time motion capture system using multiple cameras

Real-time action recognition based on cumulative Motion shapes

A Fast Approach for Human Action Recognition

Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Real-Time Object Tracking without Feature Extraction

A vision and GPS-based real-time trajectory planning for MAV in unknown urban environments

Rapid vision-based shape and motion analysis system for fast-flowing cells in a microchannel

Similar Documents

Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel

Real-time LOC-based morphological cell analysis system using high-speed vision

Real-Time People Counting Using Multiple Lines

Vision-based real-time motion capture system using multiple cameras

Real-time action recognition based on cumulative Motion shapes

A Fast Approach for Human Action Recognition

Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Real-Time Object Tracking without Feature Extraction

A vision and GPS-based real-time trajectory planning for MAV in unknown urban environments

Rapid vision-based shape and motion analysis system for fast-flowing cells in a microchannel