Machine learning and automation methods for the segmentation, classification and quantification of testicular tissue sections

Analysis of immunofluorescent images can be time-consuming and observer-dependant. We aimed to develop a standardised method for analysing immunofluorescent images of human and mouse testicular tissues using an existing software package. We used QuPath to train and apply an artificial neural network...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Adam J R Gadd, Iris Sanou, Eleanor Brain, Jill Davies, Adomas Liugaila, Kathleen Duffin, Agnes Stefansdottir, Rod T Mitchell
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Bioscientifica 2026-05-01
Sarja:	Reproduction and Fertility
Aiheet:	human testis germ cells machine learning cell quantification
Linkit:	https://raf.bioscientifica.com/view/journals/raf/7/2/RAF-25-0210.xml
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