Empowering Life Science Research With Smart Image Data Analysis
Harness the potential of computer vision in healthcare research with the IKOSA Platform.
The IKOSA Platform provides a broad range of fully-automated computer vision applications improving efficiency and productivity in microscopy image analysis for healthcare research. Backed by the latest Artificial Intelligence (AI) technology all IKOSA software solutions bring the benefits of outstanding image recognition, robust performance and reproducible results.
High-end computer vision applications designed for optimal performance in bioimage analysis and data management
With our brand new application for multichannel image analysis, Sparkfinder, you can measure up to 10 channel intensities!
IKOSA is an allround platform combining smart image data management with advanced bioimage analytics capabilities. Collaborate with your team on large-scale projects and optimize each step of the research process.
Our advanced deep learning applications have proven their supreme capabilities in a number of research fields.
Fully-automated computer vision solutions for the study of microscopy images
Also, all computer vision applications for healthcare research are available both in the cloud and on premise. For further information please read our pricing and licensing overview.
Backed by advanced deep learning technology, IKOSA AI is a unique software product that empowers healthcare researchers with greater efficiency and faster throughput in medical image analysis. With the help of deep convolutional neural networks, end users are able to perform complex algorithm training for the study of microscopy images without any coding.
Leverage the power of Artificial Intelligence for more efficient workflows.
Make use of the IKOSA Knowledge Base educational resources repository to master bioimage analysis with the IKOSA Platform.
New Plug-in within Grundium Ocus allows for a faster export of pathology slides into IKOSA
With the help of the special built-in plug-in within the Grundium Ocus microscope scanner, Grundium users can now effortlessly export digital pathology images directly into the IKOSA data storage space. Using this new connectivity option can help you spend less time managing digital slides and get ahead in terms of workflow flexibility.
Article: “Nuclei segmentation using deep learning: Methodology essentials”
Article: “Pathology software for optimal lab performance”
Computer vision technology that makes a difference in healthcare research
Discover the benefits of the IKOSA Platform
Greater research throughput
Speed up image analytics tasks with powerful deep learning algorithms.
Automated image analysis
Harness the power of deep learning technology to train your own computer vision algorithms without any coding.
Browse through our collection of ready-made deep learning applications for various microscopy imaging use cases.
Highly accurate object recognition
Improve consistency in results and avoid human subjectivity bias using deep learning technology.
Versatile applications across health- and life science disciplines
Our computer vision solutions find worthwhile use in a number of life science and medical fields.
Feature-rich software solutions
Our computer vision applications come with versatile built-in features and an easy-to-navigate user interface.
Read our latest scientific publications, blog posts on the subject of AI, interviews with leading field experts and news about our IKOSA platform.
a pharmaceutical company, it is important for us to work together with
innovative companies such as KML Vision which share our vision of the
production of the future. With their smart solutions and their AI-based
technology, we are able to support our team on the shop floor and can even
lift our already highly quality driven processes to the next level.”
IRINA S. DRUZHININA
“The AI algorithm developed by KML Vision allowed us to uncover an evolutionary process in fungi. We will certainly continue working with this company!”
Ao.Univ.Prof. DI Dr.
"The team of KML Vision was extremely supportive in setting up the IKOSA platform for our needs, which enabled us to perform demanding image storage and analysis tasks on a modern team-shared cloud space. The features of IKOSA are perfectly suited to create synergies between team members and collaborators and will therefore foster our research both for preclinical disease models, as well as for patient samples."