GI Geosciences Instrumentation and Data Systems
The 2018 Outstanding Student Poster and PICO (OSPP) Awards is awarded to Tim Walles for the poster/PICO entitled:
High-resolution automated approaches to study in situ mesozooplankton abundance and migration. (Walles, T.; Bacha, G.; Bochinski, E.; Eiselein, V.; Nejstgaard, J.)
Click here to download the poster/PICO file.
My name is Tim Walles, PhD student at IGB’s LakeLab facility. Using a Mini Deep Plankton Imager I study in-situ weak responses in diel vertical migration of zooplankton due to so-called “Skyglow” light pollution at high resolution.
In this PICO we present our work done with the Mini Deep Plankton Imager (MDPI). We show you how the imager records vertical distribution of zooplankton, give insight into the image-processing, show output of our self trained Convolutional Neural Network and how the MDPI increases resolution in depth distribution of zooplankton compared to a conventional method.
Through working with our in-situ camera I’ve become increasingly involved with the field of Computer Vision and Artificial Intelligence. Eventually leading to working and developing with students and experts from the field of computer science a Deep-Learning Convolutional Neural Network (CNN) and implement this into my daily workflow. This work is the result of that collaboration and we hope you’ll enjoy it!