“Accelerating and facilitating life science by combining human and artificial intelligence.”
ariadne-service gmbh is a Swiss company dedicated to the annotation and segmentation of biological tissue and ultrastructures in 3D light and electron microscopy stacks.
We combine human and artificial intelligence to accelerate and facilitate innovation in life science. Our workflows integrate state-of-the-art deep learning algorithms, manual image annotation, and segmentation proofreading by human experts. Together with partners in Hong Kong, we maintain a group of more than 30 professional image annotators with thousands of hours of experience in biomedical and neuroanatomical image annotation.
In the spirit of the ancient Greek goddess Ariadne, who helped the Greek hero Theseus to find his way out of the Labyrinth on Crete, we develop the tools and provide the manpower to turn massive amounts of biomedical image data into scientific results.
Are you planning to acquire and analyze massive amounts of image data that would normally require hundreds or thousands of hours of manual analysis? If so, get in touch now.
After completing his undergraduate studies in Interdisciplinary Sciences with majors in theoretical physics and neuroinformatics at ETH Zurich, Switzerland, Adrian joined the labs of Prof. Dr. Richard Hahnloser, at ETH Zurich, and Prof. Dr. Tatyana Sharpee, at the Salk Institute in La Jolla, California, to work on new algorithms for estimating receptive fields of neurons in the visual cortex of macaque monkeys and the auditory system of zebrafinches. In the course of his doctoral work on the olfactory system of zebrafish in the lab of Prof. Dr. Rainer Friedrich at the Friedrich Miescher Institute for Biomedical Research in Basel, Switzerland, Adrian became an expert in multiphoton calcium imaging and large-scale electron microscopy-based circuit reconstruction. In September 2017, Adrian was awarded the C.V. Starr Fellowship at Princeton University to study the neuronal basis of working memory in mice, in collaboration with Prof. Dr. Sebastian Seung and Prof. Dr. David Tank.
Fabian is the chief technologist and a founding partner at ariadne-service. He earned his bachelor's degree in molecular biology from Heidelberg University, and an MSc in systems biology from ETH Zurich. Afterwards, Fabian continued with his PhD in the lab of Prof. Dr. Winfried Denk, at the Max Planck Institute of Neurobiology, outside of Munich, and received scholarships from the German Academic Scholarship Foundation and from the Boehringer Ingelheim Fonds. Fabian has spent most of the last decade pushing forward the acquisition and analysis of uncomfortably large electron microscopy datasets, by both hands-on lab work and software development. At ariadne-service, Fabian aims to bring sophisticated analysis technology for large datasets into the hands of the broader community.
As one of ariadne-service's co-founders and scientific advisor, Jörgen contributes over 10 years of experience with the automatic and manual analysis of massive volume electron microscopy data sets. He programmed his first artificial neural network during high school and then became interested in biological neural networks, which he studied as an undergrad at the University of Heidelberg and as a Fellow of the German Academic Scholarship Foundation. He earned his master's degree in computational biology and bioinformatics from ETH Zurich and studied in the laboratory of Prof. Dr. Richard Hahnloser, where he focused on the neural basis of song learning. Jörgen received a Boehringer Ingelheim Fellowship for his PhD studies, which he finished with highest honors in the laboratory of Prof. Dr. Winfried Denk, at the MPI of Neurobiology near Munich. During his PhD studies, Jörgen worked in collaboration with laboratories at Google AI, the New York University and the Massachusetts Institute of Technology and published several high-profile papers. He then moved to Boston and continued his research at MIT.
We are always looking for highly motivated and talented developers, deep-learning specialists, and biomedical image analysts to join our team.