281 related articles for article (PubMed ID: 29082489)
1. Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.
Bray MA; Carpenter AE
Methods Mol Biol; 2018; 1683():89-112. PubMed ID: 29082489
[TBL] [Abstract][Full Text] [Related]
2. Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst.
Kornhuber M; Dunst S
Methods Mol Biol; 2022; 2488():207-226. PubMed ID: 35347691
[TBL] [Abstract][Full Text] [Related]
3. An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
Hennig H; Rees P; Blasi T; Kamentsky L; Hung J; Dao D; Carpenter AE; Filby A
Methods; 2017 Jan; 112():201-210. PubMed ID: 27594698
[TBL] [Abstract][Full Text] [Related]
4. A cell-level quality control workflow for high-throughput image analysis.
Qiu M; Zhou B; Lo F; Cook S; Chyba J; Quackenbush D; Matzen J; Li Z; Mak PA; Chen K; Zhou Y
BMC Bioinformatics; 2020 Jul; 21(1):280. PubMed ID: 32615917
[TBL] [Abstract][Full Text] [Related]
5. CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis.
Stirling DR; Carpenter AE; Cimini BA
Bioinformatics; 2021 Nov; 37(21):3992-3994. PubMed ID: 34478488
[TBL] [Abstract][Full Text] [Related]
6. Workflow and metrics for image quality control in large-scale high-content screens.
Bray MA; Fraser AN; Hasaka TP; Carpenter AE
J Biomol Screen; 2012 Feb; 17(2):266-74. PubMed ID: 21956170
[TBL] [Abstract][Full Text] [Related]
7. Objective detection of apoptosis in rat renal tissue sections using light microscopy and free image analysis software with subsequent machine learning: Detection of apoptosis in renal tissue.
Macedo ND; Buzin AR; de Araujo IB; Nogueira BV; de Andrade TU; Endringer DC; Lenz D
Tissue Cell; 2017 Feb; 49(1):22-27. PubMed ID: 28073590
[TBL] [Abstract][Full Text] [Related]
8. Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classification.
Logan DJ; Shan J; Bhatia SN; Carpenter AE
Methods; 2016 Mar; 96():6-11. PubMed ID: 26687239
[TBL] [Abstract][Full Text] [Related]
9. Comparison between two programs for image analysis, machine learning and subsequent classification.
Ribeiro GP; Endringer DC; De Andrade TU; Lenz D
Tissue Cell; 2019 Jun; 58():12-16. PubMed ID: 31133239
[TBL] [Abstract][Full Text] [Related]
10. CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.
Bray MA; Carpenter AE
BMC Bioinformatics; 2015 Nov; 16():368. PubMed ID: 26537300
[TBL] [Abstract][Full Text] [Related]
11. Application of automated electron microscopy imaging and machine learning to characterise and quantify nanoparticle dispersion in aqueous media.
Ilett M; Wills J; Rees P; Sharma S; Micklethwaite S; Brown A; Brydson R; Hondow N
J Microsc; 2020 Sep; 279(3):177-184. PubMed ID: 31823372
[TBL] [Abstract][Full Text] [Related]
12. Assessing microscope image focus quality with deep learning.
Yang SJ; Berndl M; Michael Ando D; Barch M; Narayanaswamy A; Christiansen E; Hoyer S; Roat C; Hung J; Rueden CT; Shankar A; Finkbeiner S; Nelson P
BMC Bioinformatics; 2018 Mar; 19(1):77. PubMed ID: 29540156
[TBL] [Abstract][Full Text] [Related]
13. CellProfiler and KNIME: Open-Source Tools for High-Content Screening.
Stöter M; Janosch A; Barsacchi R; Bickle M
Methods Mol Biol; 2019; 1953():43-60. PubMed ID: 30912015
[TBL] [Abstract][Full Text] [Related]
14. CellProfiler 4: improvements in speed, utility and usability.
Stirling DR; Swain-Bowden MJ; Lucas AM; Carpenter AE; Cimini BA; Goodman A
BMC Bioinformatics; 2021 Sep; 22(1):433. PubMed ID: 34507520
[TBL] [Abstract][Full Text] [Related]
15. Computer vision for high content screening.
Kraus OZ; Frey BJ
Crit Rev Biochem Mol Biol; 2016; 51(2):102-9. PubMed ID: 26806341
[TBL] [Abstract][Full Text] [Related]
16. Enhanced CellClassifier: a multi-class classification tool for microscopy images.
Misselwitz B; Strittmatter G; Periaswamy B; Schlumberger MC; Rout S; Horvath P; Kozak K; Hardt WD
BMC Bioinformatics; 2010 Jan; 11():30. PubMed ID: 20074370
[TBL] [Abstract][Full Text] [Related]
17. Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.
Piccinini F; Balassa T; Szkalisity A; Molnar C; Paavolainen L; Kujala K; Buzas K; Sarazova M; Pietiainen V; Kutay U; Smith K; Horvath P
Cell Syst; 2017 Jun; 4(6):651-655.e5. PubMed ID: 28647475
[TBL] [Abstract][Full Text] [Related]
18. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.
Kamentsky L; Jones TR; Fraser A; Bray MA; Logan DJ; Madden KL; Ljosa V; Rueden C; Eliceiri KW; Carpenter AE
Bioinformatics; 2011 Apr; 27(8):1179-80. PubMed ID: 21349861
[TBL] [Abstract][Full Text] [Related]
19. Large-scale image-based screening and profiling of cellular phenotypes.
Bougen-Zhukov N; Loh SY; Lee HK; Loo LH
Cytometry A; 2017 Feb; 91(2):115-125. PubMed ID: 27434125
[TBL] [Abstract][Full Text] [Related]
20. General Staining and Segmentation Procedures for High Content Imaging and Analysis.
Chambers KM; Mandavilli BS; Dolman NJ; Janes MS
Methods Mol Biol; 2018; 1683():21-31. PubMed ID: 29082484
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
