Image processing and analysis system for development and use of free flow electrophoresis chips

Lab on a Chip ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 256-266 ◽  
Author(s):  
Sven Kochmann ◽  
Sergey N. Krylov
Keyword(s):  
Image Processing ◽  
Free Flow ◽  
Quantitative Characterization ◽  
Image Processing And Analysis ◽  
Analysis System

An image processing and analysis system facilitates quantitative characterization of performance of free-flow-electrophoresis chips.

How does graphene grow on complex 3D morphologies?

2017 ◽  
Vol 19 (34) ◽  
pp. 23357-23361 ◽  
Author(s):  
H. T. Chin ◽  
C. H. Shih ◽  
Y. P. Hsieh ◽  
C. C. Ting ◽  
J. N. Aoh ◽  
...  
Keyword(s):  
Growth Process ◽  
Free Flow ◽  
Smooth Transition ◽  
Molecular Flow ◽  
Quantitative Characterization ◽  
Graphene Growth ◽  
Flow Transport

Quantitative characterization of the graphene growth process under varying confinement shows a smooth transition between molecular-flow and free-flow transport.

Quantitative Characterization of Pore Arrangement in Pore Bands in Pressure Die Cast AZ91 Magnesium Alloy by Image Processing

2006 ◽  
Vol 514-516 ◽  
pp. 1477-1482 ◽  
Author(s):  
D. G. Leo Prakash ◽  
Doris Regener
Keyword(s):  
Image Processing ◽  
Magnesium Alloy ◽  
Programming Language ◽  
Az91 Magnesium Alloy ◽  
Quantitative Characterization ◽  
Processing Defect ◽  
Die Cast ◽  
Az91 Magnesium ◽  
Pore Arrangement

Microporosity is the major processing defect in pressure die cast AZ91 magnesium alloy. There is a big difference in the arrangement of pores in different regions of the castings. The present work explains the pore arrangement in pore bands and other regions. Quantification and characterization of pores in pore bands is expected to be useful to understand the process-propertymicrostructure correlation. A computational microstructural (image) analyzing technique has been developed by a programming language to quantify and analyze the micropores in pore bands. The pore band regions and the rest were separated and quantified. In addition, image analyzing technique was used to measure the clustering tendency of porosity in pore bands and it was compared with other regions.

Image Processing and Analysis System for Corneal Endothelial Cell Based on LabVIEW and MATLAB

2014 ◽  
Vol 687-691 ◽  
pp. 3777-3781
Author(s):  
Cheng Bo Yu ◽  
Yan Hong Ke ◽  
Dan Xiao ◽  
Yang Yu Yuan ◽  
Yi Ju Yang
Keyword(s):  
Image Processing ◽  
Endothelial Cell ◽  
Reference Value ◽  
Corneal Endothelial Cell ◽  
Arithmetical Operation ◽  
Image Processing And Analysis ◽  
Mixed Programming ◽  
Analysis System ◽  
Relevant Calculation ◽  
Intuitive Interface

To process corneal endothelial cell image quickly and efficiently, observe the corneal endothelial cell form and relevant calculation and analysis. This system adopts mixed programming of LabVIEW and MATLAB, to have image processing and analysis of the corneal endothelial cell. Use LabVIEW to design operation and display interface, and send the images collected to MATLAB for complex arithmetical operation, then put out data in LabVIEW. The experiment indicates the system has the advantage of intuitive interface, convenient operation, and quick arithmetic, has the practical reference value.

scholarly journals Histological Image Processing Features Induce a Quantitative Characterization of Chronic Tumor Hypoxia

PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0153623 ◽  
Author(s):  
Andrew Sundstrom ◽  
Elda Grabocka ◽  
Dafna Bar-Sagi ◽  
Bud Mishra
Keyword(s):  
Image Processing ◽  
Tumor Hypoxia ◽  
Quantitative Characterization ◽  
Histological Image
Sign in / Sign up

Export Citation Format

Share Document