Image Analysis Platform (IAP)
We provide image recognition software and cloud infrastructure for data analysis and storage.
Our platform is used by hundreds of customers worldwide and is also available for partners to host or integrate their own image analysis pipeline. This can be done via our API for existing imaging solutions or with a new custom solution.
Monitoring Uterine Health
Oculyze Monitoring Uterine Health is a quick & easy tool to detect subclinical or cytological Endometritis through automatically identifying inflammatory cells (PMNs). Turn your smartphone or tablet into a powerful on-farm lab by simply connecting it to the Oculyze mobile fluorescence microscope.
We are developing an automatic identification of commercially relevant beetles for the LTZ – Landwirtschaftliches Technologiezentrum Augustenberg, Germany. In order to protect tree health in Europe our system helps to improve the identification of potentially harmful beetles in imported goods. Images are easily recorded via our smartphone app. With our custom cloud computer vision, that bundles specific expertise, the app helps to identify insects accurately and fast.
Asbestos Fiber Detection
We developed an automated detection of asbestos fibers in SEM images together with an international lab network. Images can be analyzed in parallel to the SEM scanning process. Making the analysis faster with the only limit of how many scans the SEM can produce. The cloud system can be deployed quickly over different facilities and help to increase effectiveness, throughput and comparability for laboratories all over the world.
We have developed an App for digitizing plots which can extract data from a graph and map the exact values of that curve to the X-Y values. The Oculyze Plot Recognizer can further be developed to work for a variety of charts, beyond the XY.
Petri dishes with agar growth media are used to cultivate bacteria. They can be used to quantify the amount of bacteria in a liquid by adding that liquid to the growth media and then seeing how much the bacteria grows. Each cell will form a colony, and by counting how many colonies grow, one can calculate the concentration of bacteria in the initial solution. Counting by hand, while seemingly practical, is tedious and error-prone. We have developed an automatic counter which will accurately and quickly count the colonies for you if you upload the image of a Petri dish.
Non-metallic Inclusions in Steel
Our image recognition technology can be adapted to assess the structural elements of steel, detect, quantify and classify inclusions, which can gravely impact the quality and performance of the material, and evaluate the integrity of anticorrosive layers.
Many applications can be covered with a generic particle counter. This is especially true for applications where foreign objects which should not be counted are not expected. Examples include the detection of metal particles in oil, or determining particle load to correlate with turbidity measurements. If a specific detection is needed, such a system can always be expanded and combined with a classification to differentiate what is being counted.
Blood Vessel Characterization in Eyes
Several diseases, such as macular degeneration, can affect the size and shape of blood vessels in the eye. Detecting and characterizing the blood vessels in an automated reproducible fashion is thus the first step toward an easy and bias-free diagnosis of various serious medical conditions.
Disk Diffusion Test Results Analyzer
We have developed an automated system for quickly and accurately measuring the size of the zones of inhibition on Agar plates for the disc diffusion (aka Kirby-Bauer) test. Disk diffusion is a simple, reproducible, and reliable method for determining the susceptibility of microorganisms to antimicrobials. However, the susceptibility of each antimicrobial can only be quantified by measuring and comparing the size of the zones of inhibition. Performing this step manually is tedious and error-prone.
Microalgae & cyanobacteria cell count
The image recognition technology developed by Oculyze can be adapted to quickly and accurately do cell counts and asses microalgae viability (using fluorescence microscopy), potentially speeding up the production process, while also reducing costs.
Water Online Monitoring
We are part of the development of an online monitoring system for the microbiological status of drinking water and industrial water. In an ongoing R&D project with partners from industry and academia we are developing a system for the detection of bacteria in enriched water samples. This system will allow continuous monitoring in installations – triggering warnings as soon as specific pathogenic species are detected.
Counting Cells in Suspension Cultures
Our software has been successfully used by one of our partners for counting mammalian cells in suspension. One of the advantages of suspension cultures is that they’re not limited by a surface area provided to them to expand on. Instead, the limit is the volume of the container. This means that a higher volume of cells can be produced, which has led to several commercial applications for this method, both for mammalian and non-mammalian cell cultures, including the production of proteins, antibodies, and secondary metabolites.
Within an ongoing academic project we are supporting the adoption of our technology as a point of care device for blood counts in rural areas as well as an automated disease detection system which can be used even in lesser developed regions in the world.