Fig. 1. Representative images, captured by the KU-F40 system, of the organisms identified differently by the FECT system. (A) Metagonimus yokogawai (FECT) vs. Clonorchis sinensis (KU-F40); (B) Trichuris trichiura (FECT) vs. Ascaris lumbricoides (KU-F40); (C) Entamoeba histolytica (FECT) vs. Blastocystis hominis (KU-F40); (D) Entamoeba histolytica (FECT) vs. Entamoeba coli (KU-F40); (E) Not detected (FECT) vs. Clonorchis sinensis (KU-F40). Images (A), (B), and (E) were captured using a 20× objective lens, while images (C) and (D) were captured using a 40× objective lens. FECT, formalin–ether concentration technique.
Ann Clin Microbiol 2025;29(2):6. Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study Download image
Table 3. Workflow and technical characteristics of FECT and the KU-F40 systems
Ann Clin Microbiol 2025;29(2):6. Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study Download table Category FECT KU-F40 system Analysis method Manual microscopic examination Automated image analysis Operation mode Manual Automated System configuration Open system Closed system Chemical exposure Frequent (Formalin, ethyl acetate) […]
Table 2. Parasitic species identification using FECT and the KU-F40 system
Ann Clin Microbiol 2025;29(2):6. Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study Download table Concordance Species identification No. of cases FECT KU-F40 system Concordant Endolimax nana 3 Clonorchis sinensis 2 Entamoeba coli 1 Discordant Metagonimus yokogawai Clonorchis sinensis (Fig. 1A) […]
Table 1. Diagnostic performance of the KU-F40 system, using FECT as the reference method
Ann Clin Microbiol 2025;29(2):6. Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study Download table KU-F40 system Positive Negative Total FECT Positive 12 9 21 Negative 6 984 990 Total 18 993 1,011 Accuracy: 98.5% (95% CI, 97.5–99.2) Sensitivity: 57.1% (95% CI, 34.0–78.2) […]
Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study
Original article Hui-Jin Yu1, Tae Yeul Kim2, Eun Jeong Won3, Hee Jae Huh2,4 1Department of Laboratory Medicine, Seoul Medical Center, Seoul, Korea2Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea3Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea4Department of Medical Device Management […]
Table 2. Specimens showing discordant results between the PowerChek Respiratory Virus Panels 1–4 assay and two comparator assays
Ann Clin Microbiol 2025;29(1):5. Diagnostic performance evaluation of the PowerChek Respiratory Virus Panels 1, 2, 3, and 4 for the detection of respiratory viruses, including SARS-CoV-2 Download table Discordant target Specimen ID Comparator assay PowerChek (Ct) Comparator (Ct) Other concordant targets ADV S45 Allplex + (31.80) – RSV S55 Allplex + (32.49) – MPV S78 […]
Table 1. Agreement of the PowerChek Respiratory Virus Panels 1–4 assay with comparator assays in detecting respiratory viruses and SARS-CoV-2
Ann Clin Microbiol 2025;29(1):5. Diagnostic performance evaluation of the PowerChek Respiratory Virus Panels 1, 2, 3, and 4 for the detection of respiratory viruses, including SARS-CoV-2 Download table Virus Comparator assay Comparator/PowerChek OPA % (95% CI) PPA % (95% CI) NPA % (95% CI) Kappa (95% CI) +/+ +/− −/+ −/− ADV Allplex 4 1 […]
Diagnostic performance evaluation of the PowerChek Respiratory Virus Panels 1, 2, 3, and 4 for the detection of respiratory viruses, including SARS-CoV-2
Original article Kyeong Seon Ryu1, Jae Hyeon Park1, Jee-Soo Lee1,2, Moon-Woo Seong1,2 1Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea2Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea Correspondence to Jae Hyeon Park, E-mail: bjack9@snu.ac.kr; Moon-Woo Seong, E-mail: mwseong@snu.ac.kr Ann Clin Microbiol 2026;29(1):5. https://doi.org/10.5145/ACM.2026.29.1.5Received on 12 January 2026, Revised on […]
Fig. 1. Temporal trends in the prevalence of pathogenic Escherichia coli pathotypes (October 2021–June 2024). EAEC, enteroaggregative Escherichia coli; EPEC, enteropathogenic Escherichia coli; ETEC, enterotoxigenic Escherichia coli.
Ann Clin Microbiol 2025;29(1):4. Antibiotic resistance patterns of pathogenic Escherichia coli isolated from southeastern Korean patients with acute diarrhea from October 2023 to June 2024: a cross-sectional surveillance study Download image
Table 2. Comparison of antibiotic resistance and multidrug resistance rates among pathogenic Escherichia coli pathotypes
Ann Clin Microbiol 2025;29(1):4. Antibiotic resistance patterns of pathogenic Escherichia coli isolated from southeastern Korean patients with acute diarrhea from October 2023 to June 2024: a cross-sectional surveillance study Download table Variables EAEC (n = 86) EPEC (n = 67) ETEC (n = 31) Antibiotic resistance rates, n (%) AMP 81 (94.2) 40 (59.7) 20 […]