scholarly journals A Telepathology Based Virtual Reference and Certification Centre for DNA Image Cytometry

2000 ◽  
Vol 21 (3-4) ◽  
pp. 149-159 ◽  
Author(s):  
G. Haroske ◽  
Francoise Giroud ◽  
K. D. Kunze ◽  
W. Meyer

An increasing need for flexible consultation between pathologists, including the application of fast evolving supplementary technologies, has been identified during the last years. Although pathology is already one of the most advanced application of telemedicine there is more to come from the fast evolution towards computerized microscope image analysis: A reproducible quantification of measurable descriptors of the lesions in cells and tissues (so‐called biological markers) is an indispensable adjunct to routine diagnostic application. Among such quantitative methods DNA image cytometry is increasingly applied by pathologists for assistance in diagnostics.As for other pathological issues, too, a reference center for the clinical application of DNA image cytometry might be therefore of utmost value for pathologists using that method.Based on advanced telematic technologies, a Virtual Reference and Certification Center (VRCC) could be installed for certifying the cytometry hardware and software, the analytical procedures, and the basic interpretation of the results. It will be designed to be operated as a non‐attended service, based on quantification servers accessible via Internet round the clock. The VRCC will supply appropriate standardization and normalization materials and run a GroupWare platform for consensus making by experts.

Author(s):  
Raimo Hartmann ◽  
Hannah Jeckel ◽  
Eric Jelli ◽  
Praveen K. Singh ◽  
Sanika Vaidya ◽  
...  

AbstractBiofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here, we present BiofilmQ—a comprehensive image cytometry software tool for the automated and high-throughput quantification, analysis and visualization of numerous biofilm-internal and whole-biofilm properties in three-dimensional space and time.


2002 ◽  
Vol 24 (1) ◽  
pp. 1-4 ◽  
Author(s):  
A. G. J. M. Hanselaar

Cytological examination is a valuable diagnostic tool in case of a serous effusion. The firstmanifestation of malignancy may be an effusion of the pleural, pericardial, or peritoneal cavity, especially in carcinoma of the ovary, or lung, and malignant mesothelioma. In other malignancies effusions may occur in the course of the disease. The contribution by Motherby et al. in this issue of ACP focuses on the contribution of image and flow cytometry to establish the presence or absence of malignancy in serous effusions [16]. They point out that the sensitivity of DNA image cytometry in equivocal effusions may be as high as 87.5%, and that for the detection of malignancy, DNA image cytometry is superior to flow cytometry.


1999 ◽  
Vol 105 (4) ◽  
pp. 960-965 ◽  
Author(s):  
Susanne Widell ◽  
Robert Hast ◽  
Gert Auer ◽  
Christopher Cox ◽  
John M. Bennett

1990 ◽  
Vol 94 (2) ◽  
pp. 254-260 ◽  
Author(s):  
Wilhelm Stolz ◽  
Thomas Vogt ◽  
Otto Braun-falco ◽  
Wolfgang Abmayr ◽  
Fritjof Eckert ◽  
...  

2021 ◽  
Vol 2089 (1) ◽  
pp. 012013
Author(s):  
Priyadarshini Chatterjee ◽  
Dutta Sushama Rani

Abstract Automated diagnosis of diseases in the recent years have gain lots of advantages and potential. Specially automated screening of cancers has helped the clinicians over the time. Sometimes it is seen that the diagnosis of the clinicians is biased but automated detection can help them to come to a proper conclusion. Automated screening is implemented using either artificial inter connected system or convolutional inter connected system. As Artificial neural network is slow in computation, so Convolutional Neural Network has achieved lots of importance in the recent years. It is also seen that Convolutional Neural Network architecture requires a smaller number of datasets. This also provides them an edge over Artificial Neural Networks. Convolutional Neural Networks is used for both segmentation and classification. Image dissection is one of the important steps in the model used for any kind of image analysis. This paper surveys various such Convolutional Neural Networks that are used for medical image analysis.


1998 ◽  
Vol 138 (4) ◽  
pp. 706-708 ◽  
Author(s):  
Kiehl ◽  
Richter ◽  
Erdelkamp ◽  
Herbst ◽  
Kapp ◽  
...  

2020 ◽  
Vol 44 (6) ◽  
pp. 373-383
Author(s):  
Phillip M Stevens

In the original edition of Prosthetics and Orthotics International, Dr Sidney Fishman identified what he anticipated as foundational educational needs for the emerging field of clinical prosthetics and orthotics. Within the broader construct of the physical sciences, this included mathematics, physics, chemistry, biomechanics, and material sciences. The clinical application of these disciplines to expanding the collective understanding within the field is described, including the biomechanics of able-bodied and prosthetic gait, the material science of socket construction, the physics of suspension and load distribution, and the engineering of prosthetic components to mimic human biomechanics. Additional applications of the physical sciences to upper limb prosthetics and lower limb orthotics are also described. In contemplating the continued growth and maturation of the field in the years to come, mechatronics and statistics are suggested as future areas where clinical proficiency will be required.


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