The use of a Quantimet image analysis system to analyse trypsin banding patterns of V79/4 (AH1) Chinese hamster chromosomes

1980 ◽  
Vol 36 (12) ◽  
pp. 1354-1356 ◽  
Author(s):  
C. J. Roberts ◽  
J. N. Pritchard
Keyword(s):  
Image Analysis ◽  
Chinese Hamster ◽  
Image Analysis System ◽  
Banding Patterns ◽  
Analysis System

Comparison of chromosome BrdU-Hoechst-Giemsa banding patterns of the A1 and (AD)2 genomes of cotton

Genome ◽  
1998 ◽  
Vol 41 (4) ◽  
pp. 616-625 ◽  
Author(s):  
Olga V Muravenko ◽  
Alexander R Fedotov ◽  
Elizabeth O Punina ◽  
Ludmila I Fedorova ◽  
Valerii G Grif ◽  
...  
Keyword(s):  
Image Analysis ◽  
Complete Classification ◽  
Small Chromosome ◽  
Tetraploid Cotton ◽  
Image Analysis System ◽  
Giemsa Banding ◽  
Genome Chromosome ◽  
Banding Patterns ◽  
S Period ◽  
Analysis System

The karyotypes of diploid cotton, Gossypium herbaceum L. var. africanum (Watt) Mauer, and tetraploid cotton, Gossypium barbadense L., were studied by BrdU-Hoechst-Giemsa banding, using a specially developed image-analysis system. The patterns obtained are represented by the slightly and intensively stained bands that correspond, respectively, to the early replicating DNA and the DNA replicating in the mid and late S period. The number of main Giemsa-positive bands varies from 2 to 9 per chromosome. The banding patterns of all homologous pairs are specific in both the A1 and (AD)2 genomes. This made possible the complete classification of the chromosomes. Based on the similarity of the BrdU-Hoechst-Giemsa banding patterns and the sizes of the chromosomes in the A1 and (AD)2 genomes, we divided the (AD)2 genome into Ab and Db subgenomes and classified their chromosomes according to the A1 genome chromosome classification. The BrdU-Hoechst-Giemsa banding pattern of the Db subgenome is basically similar to that of the A1 genome and Ab subgenome, but the differences between it and the banding patterns of the A1 genome and Ab subgenome are more significant than the differences between the latter two genomes. The similarity of the intragenomic banding patterns between nonhomologous chromosomes a and b, c and g, d and e, f and j, h and i, and l and m was revealed. Based on our results, we suggest that the ancestral cotton genome contained 7 homologous pairs of chromosomes. The results prove the feasibility of image-analysis techniques for identification and quantitative analysis of chromosomes, especially with regard to small-chromosome species.Key words: cotton, A1 and (AD)2 genomes, chromosome identification, BrdU-Hoechst-Giemsa banding, image analysis.

Chemical Classification and Particle Sizing of Foundry Sands

1985 ◽  
Vol 43 ◽  
pp. 388-389
Author(s):  
D.S. DeMiglio
Keyword(s):  
Image Analysis ◽  
Energy Dispersive Spectrometer ◽  
Image Analysis System ◽  
Representative Sampling ◽  
Foundry Sands ◽  
Large Atomic Number ◽  
Backscattered Electron ◽  
Sand Particles ◽  
Analysis System ◽  
Reclamation System

Much progress has been made in recent years towards the development of closed-loop foundry sand reclamation systems. However, virtually all work to date has determined the effectiveness of these systems to remove surface clay and metal oxide scales by a qualitative inspection of a representative sampling of sand particles. In this investigation, particles from a series of foundry sands were sized and chemically classified by a Lemont image analysis system (which was interfaced with an SEM and an X-ray energy dispersive spectrometer) in order to statistically document the effectiveness of a reclamation system developed by The Pangborn Company - a subsidiary of SOHIO.The following samples were submitted: unreclaimed sand; calcined sand; calcined & mechanically scrubbed sand and unused sand. Prior to analysis, each sample was sprinkled onto a carbon mount and coated with an evaporated film of carbon. A backscattered electron photomicrograph of a field of scale-covered particles is shown in Figure 1. Due to a large atomic number difference between sand particles and the carbon mount, the backscattered electron signal was used for image analysis since it had a uniform contrast over the shape of each particle.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

Sign in / Sign up

Export Citation Format

Share Document