scholarly journals Automated high-throughput analysis of B cell spreading on immobilized antibodies with whole slide imaging

2015 ◽  
Vol 1 (1) ◽  
pp. 224-227 ◽  
Author(s):  
Veit Wiesmann ◽  
Dorothea Reimer ◽  
Daniela Franz ◽  
Hanna Hüttmayer ◽  
Dirk Mielenz ◽  
...  
Keyword(s):  
Image Processing ◽  
B Cells ◽  
Quality Analysis ◽  
Imaging Data ◽  
Whole Slide Imaging ◽  
High Quality ◽  
High Throughput Analysis ◽  
Fluorescent Cell ◽  
Immobilized Antibodies ◽  
Automated Image Processing

AbstractAutomated image processing methods enable objective, reproducible and high quality analysis of fluorescent cell images in a reasonable amount of time. Therefore, we propose the application of image processing pipelines based on established segmentation algorithms which can handle massive amounts of whole slide imaging data of multiple fluorescent labeled cells. After automated parameter adaption the segmentation pipelines provide high quality cell delineations revealing significant differences in the spreading of B cells: LPS-activated B cells spread significantly less on anti CD19 mAb than on anti BCR mAb and both processes could be inhibited by the F-actin destabilizing drug Cytochalasin D. Moreover, anti CD19 mAb induce a more symmetrical spreading than anti BCR mAb as reflected by the higher cell circularity.

Echtzeit-Bauteilprüfung beim Feinschneiden/Real-time quality analysis during fine blanking – Test rig for sheared part characterization using image processing and neural networks

2020 ◽  
Vol 110 (06) ◽  
pp. 382-388
Author(s):  
Herman Voigts ◽  
Rafael Hild ◽  
Andreas Feuerhack ◽  
Thomas Bergs
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Quality Assessment ◽  
Real Time ◽  
Quality Analysis ◽  
Test Rig ◽  
Fine Blanking ◽  
Real Time Analysis ◽  
Automated Image Processing

Die Schnittteilqualität beim Feinschneiden unterliegt einer Vielzahl von Einflussfaktoren. Derzeit findet die Qualitätsbewertung offline vom Prozess statt. Um eine echtzeitfähige Qualitätsbeurteilung für den Einsatz von Assistenzsystemen zu ermöglichen, wurde eine bildverarbeitende Methodik untersucht. Es wurde ein Prüfstand entwickelt zur Erforschung der Methoden für eine automatisierte bildverarbeitende und echtzeitfähige Analyse der Schnittteilqualität mittels neuronalen Netzen.   The quality of the sheared surface during fine blanking is subject to a large number of influencing factors. Currently, quality assessment is carried out offline. To enable real-time quality assessment based on assistance systems, an image-processing methodology was investigated. A test rig was developed to investigate methods for automated image processing and real-time analysis of the sheared surface quality by means   of neural networks.

Image Quality Analysis of X-ray Grating Interferometer Using Integrating-bucket Method

2020 ◽  
Vol 64 (2) ◽  
pp. 20503-1-20503-5
Author(s):  
Faiz Wali ◽  
Shenghao Wang ◽  
Ji Li ◽  
Jianheng Huang ◽  
Yaohu Lei ◽  
...  
Keyword(s):  
Image Quality ◽  
Phase Contrast ◽  
Quality Analysis ◽  
Phase Contrast Imaging ◽  
Phase Image ◽  
Contrast Imaging ◽  
High Quality ◽  
Image Quality Analysis ◽  
X Ray ◽  
Grating Interferometer

Abstract Grating-based x-ray phase-contrast imaging has the potential to enhance image quality and provide inner structure details non-destructively. In this work, using grating-based x-ray phase-contrast imaging system and employing integrating-bucket method, the quantitative expressions of signal-to-noise ratios due to photon statistics and mechanical error are analyzed in detail. Photon statistical noise and mechanical error are the main sources affecting the image noise in x-ray grating interferometry. Integrating-bucket method is a new phase extraction method translated to x-ray grating interferometry; hence, its image quality analysis would be of great importance to get high-quality phase image. The authors’ conclusions provide an alternate method to get high-quality refraction signal using grating interferometer, and hence increases applicability of grating interferometry in preclinical and clinical usage.

scholarly journals Integrated Pathology Informatics Enables High-Quality Personalized and Precision Medicine: Digital Pathology and Beyond

2017 ◽  
Vol 142 (3) ◽  
pp. 369-382 ◽  
Author(s):  
Zoya Volynskaya ◽  
Hung Chow ◽  
Andrew Evans ◽  
Alan Wolff ◽  
Cecilia Lagmay-Traya; ◽  
...  
Keyword(s):  
Data Collection ◽  
Precision Medicine ◽  
Critical Role ◽  
Digital Pathology ◽  
Geographic Area ◽  
Whole Slide Imaging ◽  
High Quality ◽  
Pathology Informatics ◽  
Prognosis And Prediction ◽  
The Right

Context.— The critical role of pathology in diagnosis, prognosis, and prediction demands high-quality subspecialty diagnostics that integrates information from multiple laboratories. Objective.— To identify key requirements and to establish a systematic approach to providing high-quality pathology in a health care system that is responsible for services across a large geographic area. Design.— This report focuses on the development of a multisite pathology informatics platform to support high-quality surgical pathology and hematopathology using a sophisticated laboratory information system and whole slide imaging for histology and immunohistochemistry, integrated with ancillary tools, including electron microscopy, flow cytometry, cytogenetics, and molecular diagnostics. Results.— These tools enable patients in numerous geographic locations access to a model of subspecialty pathology that allows reporting of every specimen by the right pathologist at the right time. The use of whole slide imaging for multidisciplinary case conferences enables better communication among members of patient care teams. The system encourages data collection using a discrete data synoptic reporting module, has implemented documentation of quality assurance activities, and allows workload measurement, providing examples of additional benefits that can be gained by this electronic approach to pathology. Conclusion.— This approach builds the foundation for accurate big data collection and high-quality personalized and precision medicine.

scholarly journals Survey of rice seed quality analysis for varietal purity estimation by using image processing techniques

2018 ◽  
Vol 7 (1.7) ◽  
pp. 34
Author(s):  
S. Durai ◽  
C. Mahesh ◽  
T. Sujithra ◽  
A. Suresh
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
South India ◽  
Seed Quality ◽  
Quality Analysis ◽  
Rice Seed ◽  
Two Factors ◽  
Computer Vision Technology ◽  
Processing Techniques ◽  
Varietal Purity

 In south India rice is the major food source and in agriculture, rice production covers more than 70 percentages of entire forming. But in recent the production only from south India not enough to satisfy the need of all, such a huge demand is there. The better production comes from the selection of good seeds. Up to now formers depend on two factors for selecting better seeds, One is the brand which is approved by some quality standards and second one is analyzed manually by experienced people. Both are risky one, we are not pretty much sure the accuracy of analyze. The second one is seeing and feeling. The inspection is not consistent also very time consuming. In the other way we can use computer vision technology to analyze the quality of the seeds. In recent years many of the big industries they are using computer vision technology with Digital Image Processing for many of the applications. In this Paper we are going to discuss the different seed quality analyzing methods and accuracy of result also. Moreover there are different factors and features are there for it, here we are going to study about varietal purity estimation by different methods.

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Ранняя диагностика меланомы кожи с применением нескольких изображающих систем

2020 ◽  
Vol 128 (6) ◽  
pp. 820
Author(s):  
К.Г. Кудрин ◽  
Е.Н. Римская ◽  
И.А. Аполлонова ◽  
А.П. Николаев ◽  
Н.В. Черномырдин ◽  
...  
Keyword(s):  
Image Processing ◽  
Measurement Errors ◽  
Skin Neoplasms ◽  
Imaging Systems ◽  
Clinical Parameters ◽  
Skin Melanoma ◽  
Clinical Images ◽  
Melanoma Diagnosis ◽  
Complex Approach ◽  
Automated Image Processing

A complex approach to the early diagnosis of skin melanoma has been proposed. The approach involves a step-by-step examination of pigment tumors using several imaging systems. The features of morphometry of clinical images of pigmented skin neoplasms, features of imaging systems, the main stages of automated image processing and pattern recognition in the melanoma diagnosis has been considered. The metrological features of the proposed approach has been shown: the measurement errors of the clinical parameters of skin neoplasms by the proposed methods do not exceed the allowable errors. The approbation of the offered approach has been showed that sensitivity and specificity of the used methods exceeds 90%

scholarly journals Automated Image Processing to Quantify Cell Migration

2013 ◽  
pp. 152-157 ◽  
Author(s):  
Minmin Shen ◽  
Bastian Zimmer ◽  
Marcel Leist ◽  
Dorit Merhof
Keyword(s):  
Image Processing ◽  
Cell Migration ◽  
Automated Image Processing
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