Li Bo, Beveridge Peter, O'Hare William T, Islam Meez
School of Science and Engineering, Teesside University, Middlesbrough TS1 3BA, UK.
Sci Justice. 2013 Sep;53(3):270-7. doi: 10.1016/j.scijus.2013.04.004. Epub 2013 May 17.
A novel application of visible wavelength hyperspectral image analysis has been applied to determine the age of blood stains up to 30 days old. Reflectance spectra from selected locations within the hyperspectral image, obtained from a portable instrument, were subjected to spectral pre-processing. This was followed by the application of a linear discriminant classification model, making estimations possible with an average error of ±0.27days for the first 7 days and an overall average error of ±1.17days up to 30 days. This is also the first reported study of the determination of the age of fresh blood stains (less than one day old) with an error of ±0.09h. The studies have been made under controlled conditions and represent, at this stage, proof of concept results but also are the most accurate age estimation results for measurements between 0 and 30 days reported to date. The results are consistent with well-established kinetic processes suggesting that the pre-processing stages described are revealing spectroscopic changes which are reliably following the time dependent oxidation of HbO2. The potential for parameterisation of environmental factors to make the method generally applicable at crime scenes is discussed, along with the developments required to further improve classification and to make the instrument genuinely portable.
可见波长高光谱图像分析的一种新应用已被用于确定长达30天的血迹的年龄。从便携式仪器获取的高光谱图像中选定位置的反射光谱经过光谱预处理。随后应用线性判别分类模型,在前7天平均误差为±0.27天,在30天内总体平均误差为±1.17天,从而实现了年龄估计。这也是首次报道的对新鲜血迹(不到一天)进行年龄测定的研究,误差为±0.09小时。这些研究是在受控条件下进行的,现阶段代表了概念验证结果,但也是迄今为止报道的0至30天测量中最准确的年龄估计结果。结果与成熟的动力学过程一致,表明所描述的预处理阶段揭示了随着时间推移HbO2氧化而可靠变化的光谱变化。讨论了对环境因素进行参数化以使该方法在犯罪现场普遍适用的可能性,以及进一步改进分类和使仪器真正便携所需的进展。