Using Cell-ID 1.4 with R for microscope-based cytometry.
This unit describes a method for quantifying various cellular parameters (e.g., volume, total and subcellular fluorescence localization) from sets of microscope images of individual cells. It includes procedures for tracking cells over time. One purposefully defocused transmission image (sometimes r...
Guardado en:
| Autores principales: | , , |
|---|---|
| Publicado: |
2008
|
| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19343647_vChapter14_n_p_Chernomoretz http://hdl.handle.net/20.500.12110/paper_19343647_vChapter14_n_p_Chernomoretz |
| Aporte de: |
| id |
paper:paper_19343647_vChapter14_n_p_Chernomoretz |
|---|---|
| record_format |
dspace |
| spelling |
paper:paper_19343647_vChapter14_n_p_Chernomoretz2023-06-08T16:31:48Z Using Cell-ID 1.4 with R for microscope-based cytometry. Chernomoretz, Ariel Bush, Alan Colman Lerner, Alejandro Ariel animal article cell computer program confocal microscopy cytology fluorescence microscopy human image processing instrumentation methodology statistical analysis yeast Animals Cells Data Interpretation, Statistical Humans Image Processing, Computer-Assisted Microscopy, Confocal Microscopy, Fluorescence Software Yeasts This unit describes a method for quantifying various cellular parameters (e.g., volume, total and subcellular fluorescence localization) from sets of microscope images of individual cells. It includes procedures for tracking cells over time. One purposefully defocused transmission image (sometimes referred to as bright-field or BF) is acquired to locate each cell. Fluorescent images (one for each of the color channels to be analyzed) are then acquired by conventional wide-field epifluorescence or confocal microscopy. This method uses the image processing capabilities of Cell-ID (Gordon et al., 2007) and data analysis by the statistical programming framework R (R-Development-Team, 2008), which we have supplemented with a package tailored to analyze Cell-ID output. Both programs are open-source software packages. Copyright 2008 by John Wiley & Sons, Inc. Fil:Chernomoretz, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Bush, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Colman-Lerner, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19343647_vChapter14_n_p_Chernomoretz http://hdl.handle.net/20.500.12110/paper_19343647_vChapter14_n_p_Chernomoretz |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
animal article cell computer program confocal microscopy cytology fluorescence microscopy human image processing instrumentation methodology statistical analysis yeast Animals Cells Data Interpretation, Statistical Humans Image Processing, Computer-Assisted Microscopy, Confocal Microscopy, Fluorescence Software Yeasts |
| spellingShingle |
animal article cell computer program confocal microscopy cytology fluorescence microscopy human image processing instrumentation methodology statistical analysis yeast Animals Cells Data Interpretation, Statistical Humans Image Processing, Computer-Assisted Microscopy, Confocal Microscopy, Fluorescence Software Yeasts Chernomoretz, Ariel Bush, Alan Colman Lerner, Alejandro Ariel Using Cell-ID 1.4 with R for microscope-based cytometry. |
| topic_facet |
animal article cell computer program confocal microscopy cytology fluorescence microscopy human image processing instrumentation methodology statistical analysis yeast Animals Cells Data Interpretation, Statistical Humans Image Processing, Computer-Assisted Microscopy, Confocal Microscopy, Fluorescence Software Yeasts |
| description |
This unit describes a method for quantifying various cellular parameters (e.g., volume, total and subcellular fluorescence localization) from sets of microscope images of individual cells. It includes procedures for tracking cells over time. One purposefully defocused transmission image (sometimes referred to as bright-field or BF) is acquired to locate each cell. Fluorescent images (one for each of the color channels to be analyzed) are then acquired by conventional wide-field epifluorescence or confocal microscopy. This method uses the image processing capabilities of Cell-ID (Gordon et al., 2007) and data analysis by the statistical programming framework R (R-Development-Team, 2008), which we have supplemented with a package tailored to analyze Cell-ID output. Both programs are open-source software packages. Copyright 2008 by John Wiley & Sons, Inc. |
| author |
Chernomoretz, Ariel Bush, Alan Colman Lerner, Alejandro Ariel |
| author_facet |
Chernomoretz, Ariel Bush, Alan Colman Lerner, Alejandro Ariel |
| author_sort |
Chernomoretz, Ariel |
| title |
Using Cell-ID 1.4 with R for microscope-based cytometry. |
| title_short |
Using Cell-ID 1.4 with R for microscope-based cytometry. |
| title_full |
Using Cell-ID 1.4 with R for microscope-based cytometry. |
| title_fullStr |
Using Cell-ID 1.4 with R for microscope-based cytometry. |
| title_full_unstemmed |
Using Cell-ID 1.4 with R for microscope-based cytometry. |
| title_sort |
using cell-id 1.4 with r for microscope-based cytometry. |
| publishDate |
2008 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19343647_vChapter14_n_p_Chernomoretz http://hdl.handle.net/20.500.12110/paper_19343647_vChapter14_n_p_Chernomoretz |
| work_keys_str_mv |
AT chernomoretzariel usingcellid14withrformicroscopebasedcytometry AT bushalan usingcellid14withrformicroscopebasedcytometry AT colmanlerneralejandroariel usingcellid14withrformicroscopebasedcytometry |
| _version_ |
1768545853055696896 |