Literature DB >> 15288643

Some trends in microscope image processing.

Noël Bonnet1.   

Abstract

The present review tries to identify some trends among the multitude of ways followed by image processing developments in the field of microscopy. Nine topics were selected. They cover the fields of: signal processing, statistical analysis, artificial intelligence, three-dimensional microscopy, multidimensional microscopy, multimodality microscopy, theory, simulation and multidisciplinarity. A specific topic is dedicated to a trend towards semi-automation instead of full automation in image processing.

Mesh：

Year:  2004        PMID： 15288643     DOI： 10.1016/j.micron.2004.04.006

Source DB:  PubMed          Journal:  Micron        ISSN： 0968-4328            Impact factor:   2.251


  6 in total

1.  Double-layer mediated electromechanical response of amyloid fibrils in liquid environment.

Authors:  M P Nikiforov; G L Thompson; V V Reukov; S Jesse; S Guo; B J Rodriguez; K Seal; A A Vertegel; S V Kalinin
Journal:  ACS Nano       Date:  2010-02-23       Impact factor: 15.881

2.  Functional recognition imaging using artificial neural networks: applications to rapid cellular identification via broadband electromechanical response.

Authors:  M P Nikiforov; V V Reukov; G L Thompson; A A Vertegel; S Guo; S V Kalinin; S Jesse
Journal:  Nanotechnology       Date:  2009-09-14       Impact factor: 3.874

3.  Quantification of mutant E-cadherin using bioimaging analysis of in situ fluorescence microscopy. A new approach to CDH1 missense variants.

Authors:  João Miguel Sanches; Joana Figueiredo; Martina Fonseca; Cecília Durães; Soraia Melo; Sofia Esménio; Raquel Seruca
Journal:  Eur J Hum Genet       Date:  2014-11-12       Impact factor: 4.246

4.  Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue.

Authors:  Sunyong Seo; Jinho Park
Journal:  Comput Math Methods Med       Date:  2020-09-25       Impact factor: 2.238

5.  In vivo assessment of cold adaptation in insect larvae by magnetic resonance imaging and magnetic resonance spectroscopy.

Authors:  Daniel Mietchen; Bertram Manz; Frank Volke; Kenneth Storey
Journal:  PLoS One       Date:  2008-12-05       Impact factor: 3.240

6.  Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features.

Authors:  Rajesh Kumar; Rajeev Srivastava; Subodh Srivastava
Journal:  J Med Eng       Date:  2015-08-23
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.