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Efficacy of ImageJ in the assessment of apoptosis

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Efficacy of ImageJ in the assessment of apoptosis (English)

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Iman M Helmy

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Adel M Abdel Azim

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2

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English

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publication date

6 February 2012

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published in

Diagnostic Pathology

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volume

7

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issue

1

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page(s)

15

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Creative Commons Attribution 2.0 Generic

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6 February 2012

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copyrighted

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/PMC3307432/fullTextXML

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CellProfiler: image analysis software for identifying and quantifying cell phenotypes

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PubMed Central

reference URL

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3307432

retrieved

20 March 2017

Affordable image analysis using NIH Image/ImageJ

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PubMed Central

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retrieved

20 March 2017

Mechanisms of caspase activation and inhibition during apoptosis

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PubMed Central

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20 March 2017

Integrins: versatility, modulation, and signaling in cell adhesion

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20 March 2017

Morphometric quantification of apoptotic stages in cell culture.

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PubMed Central

reference URL

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retrieved

29 September 2017

Quantification of sPLA2-induced early and late apoptosis changes in neuronal cell cultures using combined TUNEL and DAPI staining

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PubMed Central

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29 September 2017

Automatic quantification of viability in epithelial cell cultures by texture analysis.

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29 September 2017

Nuclear apoptotic changes: an overview

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29 September 2017

Proliferation and apoptosis measurements by color image analysis based on differential absorption

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PubMed Central

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29 September 2017

Prognostic factors in prostate cancer. College of American Pathologists Consensus Statement 1999.

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29 September 2017

Review: nuclear events in apoptosis

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29 September 2017

Nuclear changes in apoptosis.

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PubMed Central

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29 September 2017

Key morphological features of apoptosis may occur in the absence of internucleosomal DNA fragmentation

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PubMed Central

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retrieved

2 June 2018

Chromatin changes in apoptosis

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/22309648

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

A comparison between histological grade and nuclear morphometry for predicting the clinical outcome of localized renal cell carcinoma

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/22309648

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12 December 2020

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Identifiers

DOI

10.1186/1746-1596-7-15

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

190083

Dimensions Publication ID

1046925738

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OpenCitations bibliographic resource ID

190083

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

190083

PubMed publication ID

22309648

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stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

190083

ResearchGate publication ID

221810095

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(Q28364586)

Efficacy of ImageJ in the assessment of apoptosis

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