Deep learning-based quantification of 5-HT2C receptor immunofluorescence-labelling in human spinal motoneurons

Fröhlich, Julius

doi:10.34726/hss.2025.131040

Record link:

https://doi.org/10.34726/hss.2025.131040
http://hdl.handle.net/20.500.12708/218045

Title:

Deep learning-based quantification of 5-HT2C receptor immunofluorescence-labelling in human spinal motoneurons

Citation:

Fröhlich, J. (2025). Deep learning-based quantification of 5-HT2C receptor immunofluorescence-labelling in human spinal motoneurons [Diploma Thesis, Technische Universität Wien; Medizinische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.131040

reposiTUm DOI:

10.34726/hss.2025.131040

CatalogPlus:

AC17605566

Publication Type:

Thesis - Diplomarbeit

Language:

English

Authors:

Fröhlich, Julius

Advisor:

Rattay, Frank