2009
DOI: 10.1002/cyto.a.20807
|View full text |Cite
|
Sign up to set email alerts
|

High content image cytometry in the context of subnuclear organization

Abstract: The organization of proteins in space and time is essential to their function. To accurately quantify subcellular protein characteristics in a population of cells with regard for the stochasticity of events in a natural context, there is a fast-growing need for image-based cytometry. Simultaneously, the massive amount of data that is generated by image-cytometric analyses, calls for tools that enable pattern recognition and automated classification. In this article, we present a general approach for multivaria… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
48
0
1

Year Published

2009
2009
2022
2022

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 63 publications
(49 citation statements)
references
References 65 publications
(66 reference statements)
0
48
0
1
Order By: Relevance
“…For each sample, at least 12 fields were acquired on 5 z-stack focusses (1 µm). The γ-H2AX spot number and spot occupancy were analyzed with the INSCYDE plugin for ImageJ as previously described (21). Spot occupancy was defined for each nucleus as the sum of the spot areas divided by the nucleus area (spot_occupancy = sum (spot_area)/ nuclear_area).…”
Section: Dna Double-strand Break Detection (Detection Of γ-H2ax Foci)mentioning
confidence: 99%
“…For each sample, at least 12 fields were acquired on 5 z-stack focusses (1 µm). The γ-H2AX spot number and spot occupancy were analyzed with the INSCYDE plugin for ImageJ as previously described (21). Spot occupancy was defined for each nucleus as the sum of the spot areas divided by the nucleus area (spot_occupancy = sum (spot_area)/ nuclear_area).…”
Section: Dna Double-strand Break Detection (Detection Of γ-H2ax Foci)mentioning
confidence: 99%
“…The kernel sizes for these operators are tunable parameters, which are automatically set to optimized values based on the image calibration (pixel size), retrieved from the metadata. In case of mitochondria, a normalized Laplace of Gaussian operator (LG) is applied, for which the optimal scale is automatically selected based on the most salient features in scale space (De Vos et al 2010). …”
Section: )mentioning
confidence: 99%
“…As implemented in SynD 34 , particles with a unique local intensity maximum can be used to generate a datadriven single synapse kernel. Alternative solutions are multiscale spot segmentation approaches 72,73 or granulometric analysis to "sieve" image objects with structure elements based on their geometry and size 74 . In a final step, several criteria can be implemented for filtering false positive results.…”
Section: Counting Synaptic Punctamentioning
confidence: 99%