Literature DB >> 22938693

Hyperspectral imaging for the age estimation of blood stains at the crime scene.

Gerda Edelman1, Ton G van Leeuwen, Maurice C G Aalders.   

Abstract

The age estimation of blood stains can provide important information on the temporal aspects of a crime. As previously shown, visible spectroscopy of blood stains can successfully be used for their age estimation. In the present study we evaluated the feasibility to use hyperspectral imaging for this purpose. Visible reflectance spectra of blood stains were recorded using a pushbroom hyperspectral imaging system. From these spectra, the relative amounts of oxyhemoglobin, methemoglobin and hemichrome within the blood stains were derived. By comparison of the hemoglobin derivative fractions with a reference dataset, the age of blood stains up to 200 days old was estimated. The absolute error of the age estimation task increased with age, with a median relative error of 13.4% of the actual age. To test the practical applicability of this method, a simulated crime scene was analyzed, in which blood stains of several ages were deposited. Hyperspectral imaging combined with the proposed analysis provided insight in the absolute age of the blood stains. Additionally, the blood stains were clustered based on their hemoglobin derivative fractions, without the use of a reference dataset. Results demonstrated that the order of formation of blood stains can be determined, even under unknown environmental circumstances, when no proficient reference dataset is available. These findings are an important step toward the practical implementation of blood stain age estimation in forensic casework.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22938693     DOI: 10.1016/j.forsciint.2012.08.003

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  11 in total

1.  HYPERSPECTRAL AUTOFLUORESCENCE IMAGING OF DRUSEN AND RETINAL PIGMENT EPITHELIUM IN DONOR EYES WITH AGE-RELATED MACULAR DEGENERATION.

Authors:  Yuehong Tong; Tal Ben Ami; Sungmin Hong; Rainer Heintzmann; Guido Gerig; Zsolt Ablonczy; Christine A Curcio; Thomas Ach; R Theodore Smith
Journal:  Retina       Date:  2016-12       Impact factor: 4.256

2.  Reflectance-based determination of age and species of blowfly puparia.

Authors:  Sasha C Voss; Paola Magni; Ian Dadour; Christian Nansen
Journal:  Int J Legal Med       Date:  2016-10-21       Impact factor: 2.686

3.  Demystifying autofluorescence with excitation-scanning hyperspectral imaging.

Authors:  Joshua Deal; Bradley Harris; Will Martin; Malvika Lall; Carmen Lopez; Paul Rider; Carole Boudreaux; Thomas Rich; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-20

4.  Identifying molecular contributors to autofluorescence of neoplastic and normal colon sections using excitation-scanning hyperspectral imaging.

Authors:  Joshua Deal; Sam Mayes; Craig Browning; Shante Hill; Paul Rider; Carole Boudreaux; Thomas C Rich; Silas J Leavesley
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

5.  Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals.

Authors:  Joshua Deal; Andrea Britain; Thomas Rich; Silas Leavesley
Journal:  J Vis Exp       Date:  2019-08-22       Impact factor: 1.355

6.  Automatic method for the dermatological diagnosis of selected hand skin features in hyperspectral imaging.

Authors:  Robert Koprowski; Sławomir Wilczyński; Zygmunt Wróbel; Sławomir Kasperczyk; Barbara Błońska-Fajfrowska
Journal:  Biomed Eng Online       Date:  2014-04-22       Impact factor: 2.819

7.  Estimation of the age of human bloodstains under the simulated indoor and outdoor crime scene conditions by ATR-FTIR spectroscopy.

Authors:  Hancheng Lin; Yinming Zhang; Qi Wang; Bing Li; Ping Huang; Zhenyuan Wang
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

8.  Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.

Authors:  Kamil Książek; Michał Romaszewski; Przemysław Głomb; Bartosz Grabowski; Michał Cholewa
Journal:  Sensors (Basel)       Date:  2020-11-21       Impact factor: 3.576

9.  Forensic analysis of beverage stains using hyperspectral imaging.

Authors:  Binu Melit Devassy; Sony George
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.379

10.  Calibration and segmentation of skin areas in hyperspectral imaging for the needs of dermatology.

Authors:  Robert Koprowski; Sławomir Wilczyński; Zygmunt Wróbel; Barbara Błońska-Fajfrowska
Journal:  Biomed Eng Online       Date:  2014-08-08       Impact factor: 2.819

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