Advantage of Affinity Histochemistry Combined with Histology to Investigate Death Causes: Indications from Sample Cases*-Reference-Cited by-同舟云学术

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Advantage of Affinity Histochemistry Combined with Histology to Investigate Death Causes: Indications from Sample Cases*

Published:2011-11 Issue:6 Volume:56 Page:1620-1625
ISSN:0022-1198
Container-title:Journal of Forensic Sciences
language:en
Short-container-title:Journal of Forensic Sciences

Author:

Bacci Stefano¹,DeFraia Beatrice²,Romagnoli Paolo¹,Bonelli Aurelio²

Affiliation:

1. Department of Anatomy, Histology and Forensic Medicine, Section “E. Allara”, Viale Pieraccini 6, 50139, University of Florence, Italy.

2. Department of Anatomy, Histology and Forensic Medicine, Section of Forensic Medicine, Viale Morgagni 85, 50134, University of Florence, Italy.

Publisher

Wiley

Subject

Genetics,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1556-4029.2011.01866.x

Reference20 articles.

1. Forensic wound examination

2. Estimation of time in forensic biology and pathology An introductory review

3. Immunohistochemical localization of fibronectin as a tool for the age determination of human skin wounds

4. Affinity cytochemistry analysis of mast cells in skin lesions: a possible tool to assess the timing of lesions after death

5. Early increase in TNF-alpha-containing mast cells in skin lesions

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1. Molecular Pathology: Applications in Nonclinical Drug Development;A Comprehensive Guide to Toxicology in Nonclinical Drug Development;2024

2. The role of mast cells in cellular modifications evoked by Exendin-4 in treated wounds: a preclinical study;Journal of Wound Care;2022-08-02

3. Immunohistochemical localization of Langerhans cells as a tool for vitality in hanging mark wounds: a pilot study;Australian Journal of Forensic Sciences;2019-02-16

4. Molecular Pathology;A Comprehensive Guide to Toxicology in Nonclinical Drug Development;2017

5. Cytological and Histological Analysis by Image Processing: Ranking Approach;Ranking of Multivariate Populations;2016-03-10

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