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Cannet A, Simon-Chane C, Histace A, Akhoundi M, Romain O, Souchaud M, Jacob P, Sereno D, Volf P, Dvorak V, Sereno D. Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP). Sci Rep 2023; 13:21389. [PMID: 38049590 PMCID: PMC10696019 DOI: 10.1038/s41598-023-48685-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023] Open
Abstract
Sandflies (Diptera; Psychodidae) are medical and veterinary vectors that transmit diverse parasitic, viral, and bacterial pathogens. Their identification has always been challenging, particularly at the specific and sub-specific levels, because it relies on examining minute and mostly internal structures. Here, to circumvent such limitations, we have evaluated the accuracy and reliability of Wing Interferential Patterns (WIPs) generated on the surface of sandfly wings in conjunction with deep learning (DL) procedures to assign specimens at various taxonomic levels. Our dataset proves that the method can accurately identify sandflies over other dipteran insects at the family, genus, subgenus, and species level with an accuracy higher than 77.0%, regardless of the taxonomic level challenged. This approach does not require inspection of internal organs to address identification, does not rely on identification keys, and can be implemented under field or near-field conditions, showing promise for sandfly pro-active and passive entomological surveys in an era of scarcity in medical entomologists.
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Affiliation(s)
- Arnaud Cannet
- Direction des Affaires Sanitaires et Sociales de la Nouvelle-Calédonie, Nouméa, France
| | | | - Aymeric Histace
- ETIS UMR 8051, Cergy Paris University, ENSEA, CNRS, 95000, Cergy, France
| | | | | | - Marc Souchaud
- ETIS UMR 8051, Cergy Paris University, ENSEA, CNRS, 95000, Cergy, France
| | - Pierre Jacob
- ETIS UMR 8051, Cergy Paris University, ENSEA, CNRS, 95000, Cergy, France
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400, Talence, France
| | - Darian Sereno
- InterTryp, Univ Montpellier, IRD, CIRAD, Infectiology, Entomology and One Health Research Group, Montpellier, France
| | - Petr Volf
- Laboratory of Vector Biology, Department of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Vit Dvorak
- Laboratory of Vector Biology, Department of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Denis Sereno
- InterTryp, Univ Montpellier, IRD, CIRAD, Infectiology, Entomology and One Health Research Group, Montpellier, France.
- MIVEGEC, Univ Montpellier, CNRS, IRD, Montpellier, France.
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