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    Metrisor: A novel diagnostic method for metritis detection in cattle based on machine learning and sensors
    (Elsevier Science Inc, 2024) Risvanli, Ali; Tanyeri, Burak; Yildirim, Gungor; Tatar, Yetkin; Gedikpinar, Mehmet; Kalender, Hakan; Safak, Tarik
    The Metrisor device has been developed using gas sensors for rapid, highly accurate and effective diagnosis of metritis. 513 cattle uteri were collected from abattoirs and swabs were taken for microbiological testing. The Metrisor device was used to measure intrauterine gases. The results showed a bacterial growth rate of 75.75 % in uteri with clinical metritis. In uteri positive for clinical metritis, the most commonly isolated and identified bacteria were Trueperella pyogenes, Fusobacterium necrophorum and Escherichia coli. Measurements taken with Metrisor to determine the presence of metritis in the uterus yielded the most successful results in evaluations of relevant machine learning algorithms. The ICO (Iterative Classifier Optimizer) algorithm achieved 71.22 % accuracy, 64.40 % precision and 71.20 % recall. Experiments were conducted to examine bacterial growth in the uterus and the random forest algorithm produced the most successful results with accuracy, precision and recall values of 78.16 %, 75.30 % and 78.20 % respectively. ICO also showed high performance in experiments to determine bacterial growth in metritis-positive uteri, with accuracy, precision and recall values of 78.97 %, 77.20 % and 79.00 %, respectively. In conclusion, the Metrisor device demonstrated high accuracy in detecting metritis and bacterial growth in uteri and could identify bacteria such as E. coli, S. aureus, coagulase-negative staphylococci, T. pyogenes, Bacillus spp., Clostridium spp. and F. necrophorum with rates up to 80 %. It provides a reliable, rapid and effective means of detecting metritis in animals in the field without the need for laboratory facilities.
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    Mixed Bacteriological Isolation Percentages from the Uterus of Cows Slaughtered due to Infertility
    (Centre Excellence Molecular Biology-Cemb, 2022) Risvanli, Ali; Kalender, Hakan; Safak, Tarik; Yuksel, Burak Fatih; Karagulle, Burcu; Yilmaz, Oznur; Kilinc, Mehmet Akif
    Background: Intrauterine mixed infections are an important problem in cattle breeding. In this study, we aimed to determine the mixed bacteriological isolation rates from the uterus of cows with clinical metritis and to reveal the relationships between the bacteria that isolated together.Methods: For this purpose, sterile swabs were taken from 490 uterus obtained from cattle slaughtered due to infertility in three slaughterhouses and used them to perform microbiological tests. After evaluating the data, it was determined that the bacterial isolation rate from uterus with clinical metritis was 76.14% (n = 268). Results: The rates for 1, 2, 3, 4, and 5 bacteria isolated from the uterus with clinical metritis were 48.13%, 33.96%, 15.30%, 2.24%, and 0.37%, respectively. The isolation rates for Trueperella pyogenes, Fusobacterium necrophorum, and Escherichia coli alone from the uterus with clinical metritis were 27.08%, 28.00%, and 16.51%, respectively. In uterus with clinical metritis, Staphylococcus aureus (16.67%) was the most commonly isolated bacteria with T. pyogenes, Clostridium spp. (16%) co-isolated with F. necrophorum, and coagulase-negative staphylococci (16.51%) and Bacillus spp. (16.51%) were detected with E. coli.Conclusion: As a result, it was concluded that when evaluating the microbiological results for cows with clinical metritis, mixed infections should be taken into more consideration, and the characteristics of the bacteria that isolate together should be considered during the treatment of mixed infections.