Literature DB >> 24525841

EXTRACTING BIOMEDICALLY IMPORTANT INFORMATION FROM LARGE, AUTOMATED IMAGING EXPERIMENTS.

Anne E Carpenter1.   

Abstract

Major challenges remain in the extraction of rich information from high-throughput microscopy experiments. In this paper, I describe some of these challenges, particularly those that are the subject of ongoing research in my laboratory. The challenges include segmenting neurons, co-cultures of different cell types, and whole organisms; segmenting and tracking cells in time-lapse images; quantifying complex phenotypic changes; and discovering biologically relevant subpopulations of cells.

Entities:  

Keywords:  C. elegans; co-cultures; fluorescence microscopy; high-throughput; screening

Year:  2011        PMID: 24525841      PMCID: PMC3920454          DOI: 10.1109/ISBI.2011.5872737

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  13 in total

1.  Multidimensional drug profiling by automated microscopy.

Authors:  Zachary E Perlman; Michael D Slack; Yan Feng; Timothy J Mitchison; Lani F Wu; Steven J Altschuler
Journal:  Science       Date:  2004-11-12       Impact factor: 47.728

2.  Compound classification using image-based cellular phenotypes.

Authors:  Cynthia L Adams; Vadim Kutsyy; Daniel A Coleman; Ge Cong; Anne Moon Crompton; Kathleen A Elias; Donald R Oestreicher; Jay K Trautman; Eugeni Vaisberg
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

3.  CellProfiler: free, versatile software for automated biological image analysis.

Authors:  Michael R Lamprecht; David M Sabatini; Anne E Carpenter
Journal:  Biotechniques       Date:  2007-01       Impact factor: 1.993

4.  Image-based multivariate profiling of drug responses from single cells.

Authors:  Lit-Hsin Loo; Lani F Wu; Steven J Altschuler
Journal:  Nat Methods       Date:  2007-04-01       Impact factor: 28.547

5.  Morphology-guided graph search for untangling objects: C. elegans analysis.

Authors:  Tammy Riklin Raviv; V Ljosa; A L Conery; F M Ausubel; A E Carpenter; P Golland; C Wählby
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

Review 6.  Computational processing and analysis of dynamic fluorescence image data.

Authors:  Jonas F Dorn; Gaudenz Danuser; Ge Yang
Journal:  Methods Cell Biol       Date:  2008       Impact factor: 1.441

7.  RESOLVING CLUSTERED WORMS VIA PROBABILISTIC SHAPE MODELS.

Authors:  Carolina Wählby; Tammy Riklin-Raviv; Vebjorn Ljosa; Annie L Conery; Polina Golland; Frederick M Ausubel; Anne E Carpenter
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2010-06-21

8.  High-throughput screen for novel antimicrobials using a whole animal infection model.

Authors:  Terence I Moy; Annie L Conery; Jonah Larkins-Ford; Gang Wu; Ralph Mazitschek; Gabriele Casadei; Kim Lewis; Anne E Carpenter; Frederick M Ausubel
Journal:  ACS Chem Biol       Date:  2009-07-17       Impact factor: 5.100

9.  Enhanced CellClassifier: a multi-class classification tool for microscopy images.

Authors:  Benjamin Misselwitz; Gerhard Strittmatter; Balamurugan Periaswamy; Markus C Schlumberger; Samuel Rout; Peter Horvath; Karol Kozak; Wolf-Dietrich Hardt
Journal:  BMC Bioinformatics       Date:  2010-01-14       Impact factor: 3.169

10.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Authors:  Anne E Carpenter; Thouis R Jones; Michael R Lamprecht; Colin Clarke; In Han Kang; Ola Friman; David A Guertin; Joo Han Chang; Robert A Lindquist; Jason Moffat; Polina Golland; David M Sabatini
Journal:  Genome Biol       Date:  2006-10-31       Impact factor: 13.583

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