
Laser scattering signal amplification and deep learning for detection of Candida culture positivity in women with vaginal symptoms: a preliminary analytical and pilot clinical evaluation
Original article Jeong Su Park1,*, Jehada-Inn Alihuddin2,*, Kidong Kim2,3, Kyoungman Cho4, Jung-A Shin1, Mulbora Jee2 1Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea2Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, Korea3Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seongnam, Korea4The Wavetalk Co., Ltd., Daejeon, Korea *These authors contributed equally as co-first authors. Correspondence to Kidong Kim E-mail: kidong.kim.md@gmail.com Ann Clin Microbiol 2026;29(2):9. https://doi.org/10.5145/ACM.2026.29.2.9Received on 13 April 2026, Revised on 29 May 2026, Accepted on 4 June 2026, Published on 20 June 2026.Copyright © Korean Society of Clinical Microbiology.This is an Open Access article which is freely available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/). Abstract Background: Accurate diagnosis of vulvovaginal candidiasis (VVC) is challenging because of the limitations of conventional wet-mount microscopy, which requires a trained examiner and offers suboptimal sensitivity. This preliminary study evaluated the analytical







