• Aeolus Bot

    Perception system for a household assistant robot

    We were working on the perception system of the robot. By developing object pose estimation and tracking algorithms we allowed Aeolus to use robot's arm to perform various operations on objects e.g. grabbing a can of Coca-Cola


    Our team assisted Aeolus from the beginning. We assisted in establishing key components of the system, we designed build environment & test structure for whole organization

    Robot was presented on CES 2018


    A novel segmentation algorithm dedicated to budding yeast

    Automatic tracking of cells in time-lapse microscopy is required to investigate a multitude of biological questions. To limit manipulations during cell line preparation and phototoxicity during imaging, brightfield imaging is often considered. Since the segmentation and tracking of cells in brightfield images is considered to be a difficult and complex task, a number of software solutions have been already developed.


    CellStar is one of such algorithms. It is optimized to segment and track images of budding yeast cells growing in monolayer (e.g. images from microfluidic chambers), however the algorithm can be also used to track other round objects (in brightfield as well as fluorescent images).


    A specie annotation tool for Deep Learning

    Taxonify is a platform that expedites the process of species annotation for automated classification. It supports image browsing and annotation in a way that is optimal for taxonomists and their annotation workflow. Taxonify is free and open source - you can download, modify it and use it according to your needs!

    It's currently used in the project Aquascope for annotation of phytoplankton and zooplankton images coming from automated underwater imaging cameras in lake Greinfensee (Switzerland). The software was funded by the Swiss National Science Foundation project 310030L_182124 (Aquascope). You can check out more about Aquascope project on their website - www.aquascope.eawag.ch

  • holoseries

    Microscoft's Hololens tool for médecine

    Holoseries is application for visualization of time series 3D models and simulation results run on them. Application allows to share view with multiple users which makes it suitable for learning classes e.g. morphology class. It is dedicated for Hololens headset. Holoseries is free and open source - you can download, modify it and use it according to your needs!


    It is a shared project between ETH Zurich and EXCITE.

  • PrettyCity

    The application enables you to remove cranes from any photo. Check out the app.

    Original image

    Cranes detection

    Final results


    Other examples of our capabilities

    Colony counting based on a Petri dish image

    Segmentation of a central venous catheter removed from an asymptomatic patient

    Segmentation of methicillin-resistant Staphylococcus aureus bacteria

    Monoclonal Antibodies Bound to HeLa Cells

    Histopathology of a keratocystic odontogenic tumour. Hematoxylin and Eosin (H&E)

    Histopathology of a glomus tumor tumour. Hematoxylin and Eosin (H&E)

    Blood vessel segmentatation in retinal scan images

    Bood cells segmentation


    Other examples of our capabilities

    Carbon nanofibers obtained by electrospinning from a polymer percurson

    Scanning an electron micrograph (SEM) of PLGA nanoparticles

    Woodpile detection

    A original image captured from NASA's World Wind software for water detection

    Jellyfish detection at Monterey Bay, CA

    Aircraft detection at the Newark Liberty International Airport

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