Discrimination of human and animal bloodstains using hyperspectral imaging

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Subtitle: Specim IQ (Specim, Spectral Imaging Ltd., Oulu, Finland)

Metadaten

Ergänzende Titel	Subtitle: Specim IQ (Specim, Spectral Imaging Ltd., Oulu, Finland)
Für den Inhalt der Forschungsdaten verantwortliche Person(en)	Babian, Carsten - Institute for Legal Medicine, Leipzig University (ORCID: 0000-0002-6621-9705)
Für den Inhalt der Forschungsdaten verantwortliche Person(en)	Cooney, Gary Sean - Innovation Center Computer Assisted Surgery (ICCAS)
Für den Inhalt der Forschungsdaten verantwortliche Person(en)	Chalopin, Claire - Innovation Center Computer Assisted Surgery (ICCAS)
Für den Inhalt der Forschungsdaten verantwortliche Person(en)	Köhler, Hannes - Innovation Center Computer Assisted Surgery (ICCAS) (ORCID: 0000-0001-9342-3288)
Beschreibung der weiteren Datenverarbeitung	A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination of human and animal bloodstains.
Art der Erhebung der Daten	Observation: Spectral imaging
Verwendete Forschungsinstrumente	Specim IQ ® (Specim, Spectral Imaging Ltd., Oulu, Finland)
Zugrundeliegende Forschungsobjekte	Substance: human and animal blood
Kurzbeschreibung	To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20).
Angewendete Methoden oder Verfahren	Hyperspectral imaging and chemometric methods
Weitere erklärende Angaben zu den Daten	Data and methods are described in detail in the attached documents and in https://doi.org/10.1007/s12024-023-00689-0.
Länder, auf die sich die Daten beziehen	GERMANY	de
Weitere Schlagwörter	Animal blood · Hyperspectral imaging (HSI) · Support vector machine (SVM) · Neighbourhood component feature selection (NCFS) · Forensics
Sprache	eng
Entstehungsjahr oder Entstehungszeitraum	2020-2021
Veröffentlichungsjahr	2024
Herausgeber	Universität Leipzig
Referenzen auf ergänzende Materialien	IsPartOf: 123456789/6055 (Handle)
Inhalt der Forschungsdaten	Text, Image, Dataset, Software: Text, Image, Dataset: Master Thesis, Journal publication, Measurements
Inhaber der Nutzungsrechte	Universität Leipzig
Nutzungsrechte des Datensatzes	CC-BY-4.0
Nähere Beschreibung der/s Fachgebiete/s	Forensic Science
Angabe der Fachgebiete	Chemistry	de
Angabe der Fachgebiete	Engineering	de
Angabe der Fachgebiete	Medicine	de
Titel des Datensatzes	Discrimination of human and animal bloodstains using hyperspectral imaging