Literature DB >> 12552619

Advances in molecular labeling, high throughput imaging and machine intelligence portend powerful functional cellular biochemistry tools.

Jeffrey H Price1, Angela Goodacre, Klaus Hahn, Louis Hodgson, Edward A Hunter, Stanislaw Krajewski, Robert F Murphy, Andrew Rabinovich, John C Reed, Susanne Heynen.   

Abstract

Cellular behavior is complex. Successfully understanding systems at ever-increasing complexity is fundamental to advances in modern science and unraveling the functional details of cellular behavior is no exception. We present a collection of prospectives to provide a glimpse of the techniques that will aid in collecting, managing and utilizing information on complex cellular processes via molecular imaging tools. These include: 1) visualizing intracellular protein activity with fluorescent markers, 2) high throughput (and automated) imaging of multilabeled cells in statistically significant numbers, and 3) machine intelligence to analyze subcellular image localization and pattern. Although not addressed here, the importance of combining cell-image-based information with detailed molecular structure and ligand-receptor binding models cannot be overlooked. Advanced molecular imaging techniques have the potential to impact cellular diagnostics for cancer screening, clinical correlations of tissue molecular patterns for cancer biology, and cellular molecular interactions for accelerating drug discovery. The goal of finally understanding all cellular components and behaviors will be achieved by advances in both instrumentation engineering (software and hardware) and molecular biochemistry. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12552619     DOI: 10.1002/jcb.10448

Source DB:  PubMed          Journal:  J Cell Biochem Suppl        ISSN: 0733-1959


  21 in total

1.  Microfluidics-integrated time-lapse imaging for analysis of cellular dynamics.

Authors:  Dirk R Albrecht; Gregory H Underhill; Joshua Resnikoff; Avital Mendelson; Sangeeta N Bhatia; Jagesh V Shah
Journal:  Integr Biol (Camb)       Date:  2010-03-19       Impact factor: 2.192

Review 2.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

Review 3.  From quantitative microscopy to automated image understanding.

Authors:  Kai Huang; Robert F Murphy
Journal:  J Biomed Opt       Date:  2004 Sep-Oct       Impact factor: 3.170

4.  Large-scale automated analysis of location patterns in randomly tagged 3T3 cells.

Authors:  Elvira García Osuna; Juchang Hua; Nicholas W Bateman; Ting Zhao; Peter B Berget; Robert F Murphy
Journal:  Ann Biomed Eng       Date:  2007-02-07       Impact factor: 3.934

5.  Microscopy and image analysis.

Authors:  George McNamara; Michael J Difilippantonio; Thomas Ried
Journal:  Curr Protoc Hum Genet       Date:  2005-08

6.  Quantification of lipid droplets and associated proteins in cellular models of obesity via high-content/high-throughput microscopy and automated image analysis.

Authors:  Patrick M McDonough; Ramses M Agustin; Randall S Ingermanson; Patricia A Loy; Benjamin M Buehrer; James B Nicoll; Natalie L Prigozhina; Ivana Mikic; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2009-10       Impact factor: 1.738

Review 7.  Histopathological image analysis: a review.

Authors:  Metin N Gurcan; Laura E Boucheron; Ali Can; Anant Madabhushi; Nasir M Rajpoot; B Yener
Journal:  IEEE Rev Biomed Eng       Date:  2009-10-30

Review 8.  Recent Advances on Luminescent Enhancement-Based Porous Silicon Biosensors.

Authors:  S N Aisyiyah Jenie; Sally E Plush; Nicolas H Voelcker
Journal:  Pharm Res       Date:  2016-02-25       Impact factor: 4.200

9.  A FRET-based assay for characterization of alternative splicing events using peptide nucleic acid fluorescence in situ hybridization.

Authors:  Ana M Blanco; Laura Rausell; Begoña Aguado; Manuel Perez-Alonso; Rubén Artero
Journal:  Nucleic Acids Res       Date:  2009-06-26       Impact factor: 16.971

10.  Exploration of chromatic aberration for multiplanar imaging: proof of concept with implications for fast, efficient autofocus.

Authors:  Martin Weinigel; Albert L Kellner; Jeffrey H Price
Journal:  Cytometry A       Date:  2009-12       Impact factor: 4.355

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