Christopher J Buswinka, David B Rosenberg, Rubina G Simikyan, Richard T Osgood, Katharine Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W Liberman, Emily Nguyen, Erdem Yildiz, Jinkyung Kim, Amandine Jarysta, Justine Renauld, Ella Wesson, Haobing Wang, Punam Thapa, Pierrick Bordiga, Noah McMurtry, Juan Llamas, Siân R Kitcher, Ana I López-Porras, Runjia Cui, Ghazaleh Behnammanesh, Jonathan E Bird, Angela Ballesteros, A Catalina Vélez-Ortega, Albert S B Edge, Michael R Deans, Ksenia Gnedeva, Brikha R Shrestha, Uri Manor, Bo Zhao, Anthony J Ricci, Basile Tarchini, Martín L Basch, Ruben Stepanyan, Lukas D Landegger, Mark A Rutherford, M Charles Liberman, Bradley J Walters, Corné J Kros, Guy P Richardson, Lisa L Cunningham, Artur A Indzhykulian
Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training...
April 23, 2024: Scientific Data