Optimising the detection of Trichophyton indotineae and its prevalence in a large Australian laboratory.
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| Title: | Optimising the detection of Trichophyton indotineae and its prevalence in a large Australian laboratory. |
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| Authors: | Chua KYL; Department of Microbiology, Dorevitch Pathology, Heidelberg, Vic, Australia; Department of Infectious Diseases, University of Melbourne, the Peter Doherty Institute for Infection and Immunity, Melbourne, Vic, Australia; Department of Infectious Diseases and Immunology, Austin Health, Heidelberg, Vic, Australia. Electronic address: kyra.chua@austin.org.au., Halliday CL; Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Westmead, NSW, Australia., Mason A; Department of Microbiology, Dorevitch Pathology, Heidelberg, Vic, Australia., Vogrin S; Department of Infectious Diseases, University of Melbourne, the Peter Doherty Institute for Infection and Immunity, Melbourne, Vic, Australia; Department of Infectious Diseases and Immunology, Austin Health, Heidelberg, Vic, Australia., Knox J; Department of Microbiology, Dorevitch Pathology, Heidelberg, Vic, Australia., Chen SC; Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Westmead, NSW, Australia; University of Sydney, Sydney, NSW, Australia. |
| Source: | Pathology [Pathology] 2025 Oct; Vol. 57 (6), pp. 762-766. Date of Electronic Publication: 2025 May 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 0175411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1465-3931 (Electronic) Linking ISSN: 00313025 NLM ISO Abbreviation: Pathology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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