A computer-aided measuring system for the characterization of yeast populations combining 2D-image analysis, electronic particle counter, and flow cytometry

1992 ◽  
Vol 39 (3) ◽  
pp. 343-350 ◽  
Author(s):  
P. G. Huls ◽  
N. Nanninga ◽  
E. A. van Spronsen ◽  
J. A. C. Valkenburg ◽  
N. O. E. Vishcer ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Image Analysis ◽  
Measuring System ◽  
Particle Counter ◽  
Computer Aided ◽  
Electronic Particle Counter

A New Technique for Characterization of Residual Stresses in Glass Surfaces: Scratch Test Completed with Image Analysis

2008 ◽  
Vol 589 ◽  
pp. 275-280 ◽  
Author(s):  
Szilvia Szeghalmy ◽  
Péter Barkóczy ◽  
Maria Berkes Maros ◽  
Attila Fazekas ◽  
Csaba Póliska
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Residual Stresses ◽  
Research Work ◽  
Scratch Test ◽  
Glass Quality ◽  
Computer Aided ◽  
A New Technique ◽  
Glass Surfaces

Residual stresses significantly influence the strength and lifetime of the glass products, therefore their qualification and quantification during production is basically important for evaluating their probable reliability in application. The current paper aims at introducing a novel procedure of the suggested automatic glass quality test based on instrumented scratch test completed with computer aided image analysis. A special emphasis is put on the problem of limited reproducibility and reliability of the image processing, arisen in the first stage of the research work. The latest results consisting in the development of a new algorithm, providing a more reliable evaluation of the test data will be described.

COMPUTER-AIDED CHARACTERIZATION OF THYROID NODULES BY IMAGE ANALYSIS METHODS

2003 ◽  
Author(s):  
S. TSANTIS ◽  
I. KALATZIS ◽  
N. PILIOURAS ◽  
D. CAVOURAS ◽  
N. DIMITROPOULOS ◽  
...  
Keyword(s):  
Image Analysis ◽  
Thyroid Nodules ◽  
Analysis Methods ◽  
Computer Aided

scholarly journals Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexej Knaus ◽  
Jean Tori Pantel ◽  
Manuela Pendziwiat ◽  
Nurulhuda Hajjir ◽  
Max Zhao ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Image Analysis ◽  
Clinical Features ◽  
Automated Image Analysis

Limitations of a 3-D Image Analysis-Based Particle Size Measuring System for Wood Particle Dimension Measurement

2018 ◽  
Vol 50 (3) ◽  
pp. 358-362
Author(s):  
Jan T Benthien ◽  
Jan Ludtke ◽  
Rainer Friehmelt ◽  
Michael Schafer
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Wood Particle ◽  
Measuring System ◽  
Dimension Measurement ◽  
Particle Dimension

scholarly journals Application of artificial intelligence in pancreaticobiliary diseases

2021 ◽  
Vol 14 ◽  
pp. 263177452199305
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Zhongheng Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Response To Treatment ◽  
Endoscopic Retrograde ◽  
Artificial Intelligence Techniques ◽  
Computer Aided ◽  
Rapid Pace ◽  
Cystic Pancreatic Lesions ◽  
Aided Diagnosis

The role of artificial intelligence and its applications has been increasing at a rapid pace in the field of gastroenterology. The application of artificial intelligence in gastroenterology ranges from colon cancer screening and characterization of dysplastic and neoplastic polyps to the endoscopic ultrasonographic evaluation of pancreatic diseases. Artificial intelligence has been found to be useful in the evaluation and enhancement of the quality measure for endoscopic retrograde cholangiopancreatography. Similarly, artificial intelligence techniques like artificial neural networks and faster region-based convolution network are showing promising results in early and accurate diagnosis of pancreatic cancer and its differentiation from chronic pancreatitis. Other artificial intelligence techniques like radiomics-based computer-aided diagnosis systems could help to differentiate between various types of cystic pancreatic lesions. Artificial intelligence and computer-aided systems also showing promising results in the diagnosis of cholangiocarcinoma and the prediction of choledocholithiasis. In this review, we discuss the role of artificial intelligence in establishing diagnosis, prognosis, predicting response to treatment, and guiding therapeutics in the pancreaticobiliary system.

Versatile Biosensing Toolkit Using an Electronic Particle Counter

2021 ◽  
Vol 93 (15) ◽  
pp. 6178-6187
Author(s):  
Zhilong Wang ◽  
Jiawei Liu ◽  
Yanlian Yang ◽  
Ping Li ◽  
Kaikai Li ◽  
...  
Keyword(s):  
Particle Counter ◽  
Electronic Particle Counter
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