610 related articles for article (PubMed ID: 27572972)
1. MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis.
Ducret A; Quardokus EM; Brun YV
Nat Microbiol; 2016 Jun; 1(7):16077. PubMed ID: 27572972
[TBL] [Abstract][Full Text] [Related]
2. Oufti: an integrated software package for high-accuracy, high-throughput quantitative microscopy analysis.
Paintdakhi A; Parry B; Campos M; Irnov I; Elf J; Surovtsev I; Jacobs-Wagner C
Mol Microbiol; 2016 Feb; 99(4):767-77. PubMed ID: 26538279
[TBL] [Abstract][Full Text] [Related]
3. SuperSegger: robust image segmentation, analysis and lineage tracking of bacterial cells.
Stylianidou S; Brennan C; Nissen SB; Kuwada NJ; Wiggins PA
Mol Microbiol; 2016 Nov; 102(4):690-700. PubMed ID: 27569113
[TBL] [Abstract][Full Text] [Related]
4. High-throughput, subpixel precision analysis of bacterial morphogenesis and intracellular spatio-temporal dynamics.
Sliusarenko O; Heinritz J; Emonet T; Jacobs-Wagner C
Mol Microbiol; 2011 May; 80(3):612-27. PubMed ID: 21414037
[TBL] [Abstract][Full Text] [Related]
5. Automated Detection of Autophagy Response Using Single Cell-Based Microscopy Assays.
Mueller AJ; Proikas-Cezanne T
Methods Mol Biol; 2019; 1880():429-445. PubMed ID: 30610713
[TBL] [Abstract][Full Text] [Related]
6. An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.
Buggenthin F; Marr C; Schwarzfischer M; Hoppe PS; Hilsenbeck O; Schroeder T; Theis FJ
BMC Bioinformatics; 2013 Oct; 14():297. PubMed ID: 24090363
[TBL] [Abstract][Full Text] [Related]
7. A versatile macro-based neurohistological image analysis suite for ImageJ focused on automated and standardized user interaction and reproducible data output.
Timothy M; Forlano PM
J Neurosci Methods; 2019 Aug; 324():108286. PubMed ID: 31063801
[TBL] [Abstract][Full Text] [Related]
8. SMoLR: visualization and analysis of single-molecule localization microscopy data in R.
Paul MW; de Gruiter HM; Lin Z; Baarends WM; van Cappellen WA; Houtsmuller AB; Slotman JA
BMC Bioinformatics; 2019 Jan; 20(1):30. PubMed ID: 30646838
[TBL] [Abstract][Full Text] [Related]
9. Seeing Is Believing: Quantifying Is Convincing: Computational Image Analysis in Biology.
Sbalzarini IF
Adv Anat Embryol Cell Biol; 2016; 219():1-39. PubMed ID: 27207361
[TBL] [Abstract][Full Text] [Related]
10. MicrobeTracker: quantitative image analysis designed for the smallest organisms.
Garner EC
Mol Microbiol; 2011 May; 80(3):577-9. PubMed ID: 21504490
[No Abstract] [Full Text] [Related]
11. MTrack: Automated Detection, Tracking, and Analysis of Dynamic Microtubules.
Kapoor V; Hirst WG; Hentschel C; Preibisch S; Reber S
Sci Rep; 2019 Mar; 9(1):3794. PubMed ID: 30846705
[TBL] [Abstract][Full Text] [Related]
12. Rapid analysis and exploration of fluorescence microscopy images.
Pavie B; Rajaram S; Ouyang A; Altschuler JM; Steininger RJ; Wu LF; Altschuler SJ
J Vis Exp; 2014 Mar; (85):. PubMed ID: 24686220
[TBL] [Abstract][Full Text] [Related]
13. The Focinator - a new open-source tool for high-throughput foci evaluation of DNA damage.
Oeck S; Malewicz NM; Hurst S; Rudner J; Jendrossek V
Radiat Oncol; 2015 Aug; 10():163. PubMed ID: 26238507
[TBL] [Abstract][Full Text] [Related]
14. High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course live-cell imaging.
Park MC; Hur JY; Cho HS; Park SH; Suh KY
Lab Chip; 2011 Jan; 11(1):79-86. PubMed ID: 20957290
[TBL] [Abstract][Full Text] [Related]
15. Shading correction and calibration in bacterial fluorescence measurement by image processing system.
Wilkinson MH
Comput Methods Programs Biomed; 1994 Aug; 44(2):61-7. PubMed ID: 7988117
[TBL] [Abstract][Full Text] [Related]
16. High-throughput detection and tracking of cells and intracellular spots in mother machine experiments.
Ollion J; Elez M; Robert L
Nat Protoc; 2019 Nov; 14(11):3144-3161. PubMed ID: 31554957
[TBL] [Abstract][Full Text] [Related]
17. HCS Methodology for Helping in Lab Scale Image-Based Assays.
Soriano J; Mata G; Megias D
Methods Mol Biol; 2019; 2040():331-356. PubMed ID: 31432486
[TBL] [Abstract][Full Text] [Related]
18. A novel algorithm for the determination of bacterial cell volumes that is unbiased by cell morphology.
Zeder M; Kohler E; Zeder L; Pernthaler J
Microsc Microanal; 2011 Oct; 17(5):799-809. PubMed ID: 21910938
[TBL] [Abstract][Full Text] [Related]
19. MATtrack: A MATLAB-Based Quantitative Image Analysis Platform for Investigating Real-Time Photo-Converted Fluorescent Signals in Live Cells.
Courtney J; Woods E; Scholz D; Hall WW; Gautier VW
PLoS One; 2015; 10(10):e0140209. PubMed ID: 26485569
[TBL] [Abstract][Full Text] [Related]
20. Fast and simple tool for the quantification of biofilm-embedded cells sub-populations from fluorescent microscopic images.
Bogachev MI; Volkov VY; Markelov OA; Trizna EY; Baydamshina DR; Melnikov V; Murtazina RR; Zelenikhin PV; Sharafutdinov IS; Kayumov AR
PLoS One; 2018; 13(5):e0193267. PubMed ID: 29715298
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
