Focus stacking technique in identification of forensically important Chrysomya species (Diptera: Calliphoridae)
Noha A. Elleboudy, Hayam M. Ezz Eldin, Sonya M.S. Azab
Egyptian Journal of Forensic Sciences · 2016
doi:10.1016/j.ejfs.2016.06.001 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Entomological evidence showed great role in death investigations during the last decades. This depends mainly on identification of insect samples by expert taxonomists who are not available among forensic investigator teams in Egypt which represents one of the obstacles that prevent the use of entomological evidence. This study aimed to provide easily used key for identification of Egyptian Chrysomya species using focus stacking technique that can be applied in forensic investigation. Materials and methods: Collection of flies was done using fly traps that were hung in urban districts of Cairo during June–September 2014. Continuous shooting photography of the collected flies was done using a Nikon Stereomicroscopy and camera of smart phone (Galaxy S5), stacking of partially focused images was done by Zerene Stacker software. Chrysomya species were identified and separated from other metallic calyptrate dipteral based on its characteristic morphological features. Results: Seventy six Chrysomya specimens were collected; Chrysomya albiceps was the most abundant (39) with 16 male and 23 females, followed by Chrysomya megacephala (34) with 13 male and 21 females. Three Chrysomya marginalis were recovered; one male and two females. Conclusion: This study presents simple method for photographing of insect samples that can be used by untrained personals for further identification by expert taxonomists. Recommendations: Further studies on the blowfly species that occur in Egypt and documentation of their key for identification are recommended to facilitate the diverse applications of these important insects in forensic investigations.
Abstract licence: CC BY-NC-ND
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.