Quantifying human femoral cortex morphology is important for forensic science, surgical planning, prosthesis design and musculoskeletal modeling.
Intrusion Detection is also important for forensic purposes in order to identify successful breaches even after they have occurred.
On one hand the identification as well as determination of a controlled substance is important for forensic science laboratories for prosecutorial purposes and on the other hand profiling of decomposition products, side reaction products, precursors, impurities, solvents, adulterants and diluents are of prime importance to trace the geographical origin of the illicit sample.
Decontamination of all reagents, including primers, is particularly important for forensic analyses and studies of ancient human remains where any reagent can be contaminated with human DNA.
Conversely, the protocol may also be employed for heteroplasmy detection, which is important for forensic and medical studies.
Trace detection of explosive particles is potentially important for forensic applications, such as locating areas where high explosives may have been assembled into improvised bombs.
One notable exception, although less relevant for medical but important for forensic purposes, is human eye color, for which it has been recently demonstrated that highly accurate prediction is feasible from a small number of DNA variants.
We hope that identification of candidate microsatellite and SNP loci will be useful for others interested in field-based population studies of S. crassipalpis and closely related Sarcophaga species, some of which are important for forensic studies.
Resource-constrained carving is important for digital forensic triage, as well as for e-discovery, where a reduction in carving time may be preferred to completeness.
However, recent reports on integrated rapid DNA analysis systems with swab-in and answer-out capability lack any quantitative and qualitative characterization of the swab-in sample lysis module, which is important for downstream forensic sample processing.
