Naslov
Machine learning-based image analysis of optically detected neurons cultured in-vitro on high-density micro-pillar substrates and chips

Autori
Bedalov, Ana ; Marciuš, Tihana ; Sapunar, Damir

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni

Izvornik
23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019 / - : Chemical and Biological Microsystems Society, 2019, 1424-1425

ISBN
978-1-7334190-0-0

Skup
23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences

Mjesto i datum
Basel, Švicarska, 27.10.2019. - 31.10.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fluorescence microscopy ; Image processing ; Machine learning ; Neurons

Sažetak
We present the novel method for machine learning- based image processing of optically detected neurons, grown as in-vitro cultures on top of the patterned high-density micro-pillar substrates and chips. We first validated the method with the control images of in-vitro cultures of dorsal root ganglion neurons grown on glass coverslips. Then, we showed that the method is able to reveal morphological differences between neonatal and adult dorsal root ganglion neurons, as well as the estimation of their in-vitro age. The method was optimized for fast image analysis of large image datasets of neurons.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)

POVEZANOST RADA