J 2005

Distinguishing between Human and Non-human bones: Histometric metod for forensic antropology

URBANOVÁ, Petra and Vladimír NOVOTNÝ

Basic information

Original name

Distinguishing between Human and Non-human bones: Histometric metod for forensic antropology

Name in Czech

Rozlišení mezi lidskými a zvířecími kostmi. Histometrická metoda pro forenzní antropologii

Authors

URBANOVÁ, Petra (203 Czech Republic) and Vladimír NOVOTNÝ (203 Czech Republic, guarantor)

Edition

Anthropologie, 2005, 0323-1119

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

Archaeology, anthropology, ethnology

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14310/05:00031198

Organization unit

Faculty of Science

Keywords (in Czech)

forenzní antropologie, biologický původ, mikroskopie, histomorfometrie

Keywords in English

forensic anthropology; human/non-human origin; bone microscopy; histomorphometrics; image analysis

Tags

Tags

International impact
Změněno: 8/4/2010 09:55, doc. RNDr. Petra Urbanová, Ph.D.

Abstract

V originále

In order to develop an identification key for distinguishing between human and nonhuman osteological samples, bone structure of several animal taxa was studied using quantitative microscopy. Both domestic and wild species were included in the sample, analysed at both micrometric (13 variables) and macrometric (3 variables) scales. The data was first used to evaluate inter- and intraspecies diversity. Least determinative parameters were then eliminated via stepwise discriminant function analysis. The most discriminating microproperties of compact bone tissue were: number of osteons in 1 mm2, maximum osteon diameter, maximum diameter and area of Haversian canal, and mid-shaft femoral cortical thickness. Two different equations for discriminating between human and non-human bone are formulated. The 1st type uses only histometric properties of bone structure. The 2nd type of equations combines histometric measurement and cortical thickness. The latter equations correctly predict taxonomic classification in 100% of cases.