Transitioning from conventional to digital methods for estimating time since death: a multi-parameter forensic software
Year: 2025
Type: article
Abstract: In forensic pathology, estimating the postmortem interval (PMI) is crucial for legal investigations, particularly in homicide cases. Traditional methods for determining the time since death offer only estimations, and formulas related to solute concentrations in vitreous humor vary, complicating the process. To present a novel software solution that integrates body temperature data and solute concentrations in the vitreous humor (potassium, albumin, hypoxanthine, and urea). The software combines the Henssge method with current knowledge of solute concentration evolution in the vitreous humor post-death. Formulas derived from the scientific literature were implemented in a Java-based program. The program features a intuitive interface and is compatible with Windows and MacOS. Functional and non-functional requirements were addressed, ensuring quick data input, low resource consumption, and easy interpretation of results. The software provides more precise PMI estimations by unifying the Henssge method with regression equations from existing literature. This integration enhances usability for practical applications and academic research. This study introduces a cohesive software solution that integrates traditional and modern methodologies for PMI estimation. The program's comprehensive approach and intuitive design promise to improve accuracy and facilitate broader application in forensic investigations. • PMI estimation remains challenging, relying on various postmortem changes and data. • Cadaveric temperature-based PMI estimation has limitations due to many variables. • The software estimates postmortem interval (PMI) using body temp and vitreous humor. • The software allows PMI estimation even when some solutes or details are missing. • Future versions may include AI for enhanced PMI estimation from complex data sets.
Authors: Roberto Scendoni, Luca Tomassini, Giovanni Bianchini, Laura Baldelli, Piergiorgio Fedeli, Mariano Cingolani
Language: English
Subfield: Insect Science
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,870
OpenAlex ID: W4415389186