Automated Diagnostics: Advances in the Diagnosis of Intestinal Parasitic Infections in Humans and Animals

Frontiers in Veterinary Science

Celso Tetsuo Nagase Suzuki¹  Jancarlo Ferreira Gomes¹  Alexandre Xavier Falcão¹  Saulo Hudson Nery Loiola²  Bianca Martins dos Santos²  Felipe Augusto Soares²  Stefani Laryssa Rosa²  Sandra Valéria Inácio³  Katia Denise Saraiva Bresciani³ 

[1] Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, Brazil;School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil;São Paulo State University (Unesp), School of Veterinary Medicine, Araçatuba, Brazil;

关键词: automated;    parasite;    protozoan;    animal;    human;    gastrointestinal;   

DOI  :  10.3389/fvets.2021.715406

来源: DOAJ

【 摘 要 】

The increasingly close proximity between people and animals is of great concern for public health, given the risk of exposure to infectious diseases transmitted through animals, which are carriers of more than 60 zoonotic agents. These diseases, which are included in the list of Neglected Tropical Diseases, cause losses in countries with tropical and subtropical climates, and in regions with temperate climates. Indeed, they affect more than a billion people around the world, a large proportion of which are infected by one or more parasitic helminths, causing annual losses of billions of dollars. Several studies are being conducted in search for differentiated, more sensitive diagnostics with fewer errors. These studies, which involve the automated examination of intestinal parasites, still face challenges that must be overcome in order to ensure the proper identification of parasites. This includes a protocol that allows for elimination of most of the debris in samples, satisfactory staining of parasite structures, and a robust image database. Our objective here is therefore to offer a critical description of the techniques currently in use for the automated diagnosis of intestinal parasites in fecal samples, as well as advances in these techniques.

【 授权许可】

Unknown