Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Annotated high-throughput microscopy image sets for validation.

Literature DB >> 22743765

Annotated high-throughput microscopy image sets for validation.

Vebjorn Ljosa, Katherine L Sokolnicki, Anne E Carpenter.

Abstract

Entities: Disease Species

Mesh：

Year: 2012 PMID： 22743765 PMCID： PMC3627348 DOI： 10.1038/nmeth.2083

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

× No keyword cloud information.

2 in total

1. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.

Authors: Lee Kamentsky; Thouis R Jones; Adam Fraser; Mark-Anthony Bray; David J Logan; Katherine L Madden; Vebjorn Ljosa; Curtis Rueden; Kevin W Eliceiri; Anne E Carpenter
Journal: Bioinformatics Date: 2011-02-23 Impact factor: 6.937

2. 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

2 in total

69 in total

1. A call for bioimaging software usability.

Authors: Anne E Carpenter; Lee Kamentsky; Kevin W Eliceiri
Journal: Nat Methods Date: 2012-06-28 Impact factor: 28.547

2. Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

Authors: Mark-Anthony Bray; Anne E Carpenter
Journal: Methods Mol Biol Date: 2018

3. Imagining the future of bioimage analysis.

Authors: Erik Meijering; Anne E Carpenter; Hanchuan Peng; Fred A Hamprecht; Jean-Christophe Olivo-Marin
Journal: Nat Biotechnol Date: 2016-12-07 Impact factor: 54.908

4. Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry.

Authors: Saurav Basu; Soheil Kolouri; Gustavo K Rohde
Journal: Proc Natl Acad Sci U S A Date: 2014-02-18 Impact factor: 11.205

5. 'Cytology-on-a-chip' based sensors for monitoring of potentially malignant oral lesions.

Authors: Timothy J Abram; Pierre N Floriano; Nicolaos Christodoulides; Robert James; A Ross Kerr; Martin H Thornhill; Spencer W Redding; Nadarajah Vigneswaran; Paul M Speight; Julie Vick; Craig Murdoch; Christine Freeman; Anne M Hegarty; Katy D'Apice; Joan A Phelan; Patricia M Corby; Ismael Khouly; Jerry Bouquot; Nagi M Demian; Y Etan Weinstock; Stephanie Rowan; Chih-Ko Yeh; H Stan McGuff; Frank R Miller; Surabhi Gaur; Kailash Karthikeyan; Leander Taylor; Cathy Le; Michael Nguyen; Humberto Talavera; Rameez Raja; Jorge Wong; John T McDevitt
Journal: Oral Oncol Date: 2016-07-20 Impact factor: 5.337

6. Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment.

Authors: Vebjorn Ljosa; Peter D Caie; Rob Ter Horst; Katherine L Sokolnicki; Emma L Jenkins; Sandeep Daya; Mark E Roberts; Thouis R Jones; Shantanu Singh; Auguste Genovesio; Paul A Clemons; Neil O Carragher; Anne E Carpenter
Journal: J Biomol Screen Date: 2013-09-17

Annotated high-throughput microscopy image sets for validation.

1. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.

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

1. A call for bioimaging software usability.

2. Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

3. Imagining the future of bioimage analysis.

4. Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry.

5. 'Cytology-on-a-chip' based sensors for monitoring of potentially malignant oral lesions.

6. Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment.

7. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes.

Review 8. Deep learning for cellular image analysis.

9. ImageJ and CellProfiler: Complements in Open-Source Bioimage Analysis.

10. Multi-stage malaria parasite recognition by deep learning.