Image recognition experts
for biological and
We provide image recognition software and cloud infrastructure for data analysis and storage.
Our advanced team of bio-technologists and computer vision experts have years of experience in the field of microscopic and biological image analysis and will develop a custom solution based on what you require. Our solutions range from simple linear classifiers to neural networks and deep learning. We choose the right set of tools to fit your needs.
Do you need to automate a microscopic and/or biological analysis? We can help!
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Industries we specialize in
– animal health
– life sciences
– food & beverage
– digital health
Backed by years of research
Automatisierte Klassifizierung und Viabilitätsanalyse von Phytoplankton
– Katja Schulze
A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ
– Katja Schulze, Diana A López, Ulrich M Tillich and Marcus Frohme
PlanktoVision – an automated analysis system for the identification of phytoplankton
– Katja Schulze, Ulrich M Tillich, Thomas Dandekar and Marcus Frohme
The use of fluorescence microscopy and image analysis for rapid detection of non-producing revertant cells of Synechocystis sp. PCC6803 and Synechococcus sp. PCC7002
– Katja Schulze, Imke Lang, Heike Enke, Diana Grohme, and Marcus Frohme
FIJI Macro 3D ART VeSElecT: 3D Automated Reconstruction Tool for Vesicle Structures of Electron Tomograms
– Kristin Verena Kaltdorf, Katja Schulze, Frederik Helmprobst, Philip Kollmannsberger, Thomas Dandekar , Christian Stigloher
Customized image recognition services
Take your images.
Automatically sent to the Oculyze cloud
Our customized image recognition software analyzes your microscopic images.
Your results are sent directly to you, giving you access from any internet-enabled device, a mobile app (custom development available), or get direct access to our API and create your own interface.
Generate customized reports, view historical data, track your results over time and increase statistical accuracy.