Focus stacking technique in identification of forensically important Chrysomya species (Diptera: Calliphoridae)

Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species

In medical, veterinary and forensic entomology, the ease and affordability of image data acquisition have resulted in whole-image analysis becoming an invaluable approach for species identification. Krawtchouk moment invariants are a classical mathematical transformation that can extract local features from an image, thus allowing subtle species-specific biological variations to be accentuated for subsequent analyses. We extracted Krawtchouk moment invariant features from binarised wing images of 759 male fly specimens from the Calliphoridae, Sarcophagidae and Muscidae families (13 species and a species variant). Subsequently, we trained the Generalized, Unbiased, Interaction Detection and Estimation random forests classifier using linear discriminants derived from these features and inferred the species identity of specimens from the test samples. Fivefold cross-validation results show a 98.56 ± 0.38% (standard error) mean identification accuracy at the family level and a 91.04 ± 1.33% mean identification accuracy at the species level. The mean F1-score of 0.89 ± 0.02 reflects good balance of precision and recall properties of the model. The present study consolidates findings from previous small pilot studies of the usefulness of wing venation patterns for inferring species identities. Thus, the stage is set for the development of a mature data analytic ecosystem for routine computer image-based identification of fly species that are of medical, veterinary and forensic importance.

Forensic entomology research in Egypt: a review article

Background

Forensic entomology (FE) is widely considered as an important field of forensic science, particularly in the field of estimating postmortem intervals, which has advanced considerably across the world.

Main body

Researchers used necrophagous insects in twelve Egyptian governorates to look into the variables that impact insect succession and the growth of juvenile stages from infesting animal models and humans, draw toxicological conclusions, and identify insect species using morphological and molecular-based approaches. The study includes analyses of insect abundance and dispersion, along with biochemical and electrophysiological experiments. Comparable data from other Egyptian governorates, on the other side, is currently unavailable. Aspects of FE are also missing, which might be addressed in a future research project.

Conclusion

This review aims to provide an outline of FE in Egypt, other than to assist existing researchers in identifying research needs and recruiting new researchers into the field by highlighting significant forensic insects that might be employed in criminal prosecutions.

Role of Chrysomya albiceps (Diptera: Calliphoridae) and Musca domestica (Diptera: Muscidae) Maggot Crop Contents in Identifying Unknown Cadavers

Forensic entomology focuses on the analysis of insect larvae present at crime scenes to help identify unknown cadavers. Carrion-feeding maggots store food in a crop located at the anterior end of the gut. DNA recovered from the crop can be amplified, sequenced, and identified to determine the origin of the food. This information could help investigators to identify a missing victim if maggots are discovered at a crime scene in the absence of a corpse. Chrysomya albiceps (Wiedemann) and Musca domestica (Linnaeus) are primary forensic species. Little or no information on the identification of unknown cadavers using C. albiceps and M. domestica larvae is available, and we aimed to compare the effectiveness of using the crop contents of instars of C. albiceps and M. domestica larvae to identify corpses at different time intervals. Two hundred and forty larvae of both species were reared on rat and/or mouse liver, and DNA from crop contents was extracted after different time intervals from different instar larvae. DNA was amplified using specific primers that match the mitochondrial cytochrome oxidase subunit I (mt COI) gene of the food source. Results showed that food provided to larvae affected life span and the ability to be used to identify unknown cadavers. Chrysomya albiceps larvae proved more useful than M. domestica larvae. Moreover, crop contents of third instar larvae of both species fed for 24 h are more useful than contents from other time intervals in identifying unknown tissues. Results are promising and may help investigators to identify unknown/missing victims.