Related Experiment Video
Updated: Feb 3, 2026

Acute Brain Trauma in Mice Followed By Longitudinal Two-photon Imaging
Published on: April 6, 2014
Sharp bone trauma diagnosis: a validation study using epifluorescence microscopy
A Sandras1, C Guilbeau-Frugier2, F Savall1,2
1Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France.
Abstract:
Identifying tool mark and involved weapon in sharp force trauma is essential to understanding the circumstances of death. But accuracy and reliability of such expert testimony remains unknown, and validation studies are rare in forensic literature. That is why, we conducted an experiment in order to determine error rates and predictive values on identifying the right implement through different types of knife-inflicted trauma. Human bone cut marks were analysed through epifluorescence microscopy. The samples were examined through a randomised, blinded, controlled study by three researchers with varying degrees of experience with direct and indirect observation of cut marks (photography). Our results showed that identifying the weapon involved is possible thanks to numerous criteria analysis. Correct classification rates were high and misclassifications rare. Asymmetric blades obtained better results than symmetric blades. Predictive values were also calculated, and the negative one reached very high levels, near 100% with regard to all the implements. Positive predictive values were more variable. But even if individual diagnoses remain in doubt, triage can be done and tools not implicated in injury can be eliminated with certainty. Moreover, our work clearly highlighted the importance of experience in such activities. A high level of experience is fundamental to obtain the best values, especially in such a context where evidence reliability is extremely important for forensic admissibility testimony in the court.
Related Concept Videos
Formulating and Validating Nursing Diagnosis I
There are thirteen domains...
Formulating and Validating Nursing Diagnosis II
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Reliability and Validity
Data Validation
Key parameters for method validation include:
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing Diagnosis
The nursing diagnosis focuses on evidence-based...

