Limits...
Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.

Longato S, Wöss C, Hatzer-Grubwieser P, Bauer C, Parson W, Unterberger SH, Kuhn V, Pemberger N, Pallua AK, Recheis W, Lackner R, Stalder R, Pallua JD - Anal Methods (2015)

Bottom Line: In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved.It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation.Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

View Article: PubMed Central - PubMed

Affiliation: Institute of Legal Medicine , Medical University of Innsbruck , Müllerstraße 44 , 6020 Innsbruck , Austria . Email: Johannes.Pallua@i-med.ac.at.

ABSTRACT

In this study different state-of-the-art visualization methods such as micro-computed tomography (micro-CT), mid-infrared (MIR) microscopic imaging and energy dispersive X-ray (EDS) mapping were evaluated to study human skeletal remains for the determination of the post-mortem interval (PMI). PMI specific features were identified and visualized by overlaying molecular imaging data and morphological tissue structures generated by radiological techniques and microscopic images gained from confocal microscopy (Infinite Focus (IFM)). In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved. It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation. Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

No MeSH data available.


(A) Representative MIR spectra of forensic and archaeological bone samples with the corresponding C.I. and CO3/PO4 value. 2-D and 3-D Score plots of MIR spectra in the region of 1700 cm–1 to 550 cm–1 (B and C). For the differentiation between forensic and archaeological bone samples for each bone sample 30 spectra were selected from degradation free regions. Each data point represents one spectrum of the respective (colour coded) bone sample.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4383336&req=5

fig5: (A) Representative MIR spectra of forensic and archaeological bone samples with the corresponding C.I. and CO3/PO4 value. 2-D and 3-D Score plots of MIR spectra in the region of 1700 cm–1 to 550 cm–1 (B and C). For the differentiation between forensic and archaeological bone samples for each bone sample 30 spectra were selected from degradation free regions. Each data point represents one spectrum of the respective (colour coded) bone sample.

Mentions: Analyses of the resulting MIR microscopic imaging datasets were performed using the mentioned software packages. In this study, 6 bone samples with different PMIs were analysed by individual chemi-map representations, spectra-analysis and principle component analyses (PCA) (Fig. 4 and 5).


Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.

Longato S, Wöss C, Hatzer-Grubwieser P, Bauer C, Parson W, Unterberger SH, Kuhn V, Pemberger N, Pallua AK, Recheis W, Lackner R, Stalder R, Pallua JD - Anal Methods (2015)

(A) Representative MIR spectra of forensic and archaeological bone samples with the corresponding C.I. and CO3/PO4 value. 2-D and 3-D Score plots of MIR spectra in the region of 1700 cm–1 to 550 cm–1 (B and C). For the differentiation between forensic and archaeological bone samples for each bone sample 30 spectra were selected from degradation free regions. Each data point represents one spectrum of the respective (colour coded) bone sample.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4383336&req=5

fig5: (A) Representative MIR spectra of forensic and archaeological bone samples with the corresponding C.I. and CO3/PO4 value. 2-D and 3-D Score plots of MIR spectra in the region of 1700 cm–1 to 550 cm–1 (B and C). For the differentiation between forensic and archaeological bone samples for each bone sample 30 spectra were selected from degradation free regions. Each data point represents one spectrum of the respective (colour coded) bone sample.
Mentions: Analyses of the resulting MIR microscopic imaging datasets were performed using the mentioned software packages. In this study, 6 bone samples with different PMIs were analysed by individual chemi-map representations, spectra-analysis and principle component analyses (PCA) (Fig. 4 and 5).

Bottom Line: In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved.It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation.Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

View Article: PubMed Central - PubMed

Affiliation: Institute of Legal Medicine , Medical University of Innsbruck , Müllerstraße 44 , 6020 Innsbruck , Austria . Email: Johannes.Pallua@i-med.ac.at.

ABSTRACT

In this study different state-of-the-art visualization methods such as micro-computed tomography (micro-CT), mid-infrared (MIR) microscopic imaging and energy dispersive X-ray (EDS) mapping were evaluated to study human skeletal remains for the determination of the post-mortem interval (PMI). PMI specific features were identified and visualized by overlaying molecular imaging data and morphological tissue structures generated by radiological techniques and microscopic images gained from confocal microscopy (Infinite Focus (IFM)). In this way, a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI were achieved. It could be demonstrated that the gained result in combination with multivariate data analysis can be used to predict the Ca/C ratio and bone volume (BV) over total volume (TV) for PMI estimation. Statistical limitation of this study is the small sample size, and future work will be based on more specimens to develop a screening tool for PMI based on the outcome of this multidimensional approach.

No MeSH data available.