Microscopy image analysis software crafted in dialog with research

The microscopy image analysis software you use in your lab can truly make or break the results of your project. Equipped with the right tools you can take your research from good to great.

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We are pleased to announce that the IKOSA Platform has found a new home. KML Vision has ceased business operations in June 2024, seamlessly handing over all activities to KOLAIDO. KOLAIDO continues the mission to drive innovation in life sciences research. We are excited about this new chapter, appreciate your continued trust and look forward to supporting your scientific endeavours with the same cutting-edge technology and commitment to excellence.

– The KOLAIDO Management

Discover IKOSA: the platform where outstanding life science research begins

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We will be there for you from the research project idea to its completion

Curiosity-driven

In order to be successful as a research team, you need to constantly adapt to the ever-evolving demands in your scientific discipline. Long-term achievement in today’s biomedical industry often comes down to staying up-to-date with the latest image analysis methods and digital applications in your field.

Resources

Expertise-based

Our team is there for you to provide you with leading-edge solutions for the analysis of microscopy images coupled with ongoing user support and education on current life science topics and methodologies.

Knowledge Base

Expertise based

Knowledge Base

Exchange-oriented

Our software products are inspired by real-life research questions and take shape in ongoing expert dialog. We know the pain points life science researchers face and provide them with specialized solutions to concrete scientific problems.

Create tailored image analysis applications without AI experience

IKOSA AI is our flagship software product. The versatile features it brings along enable you to master each single step of the app development process.

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Holistic all-in-one solution

From data management to application development and image analysis, we’ve got you and your team covered.

No coding skills required

Leverage AI automation to develop fully-functional bioimage analysis apps without any programming.

Training report with results visualization

Achieve the best performance for your application with visualization and performance metrics in your training report.

Simple and intuitive user interface

The app development process is designed for the convenience of our users. The IKOSA AI workflow is intuitive and you get helpful prompts at each step.

A versatile portfolio of ready-to-use image analysis applications across multiple life science disciplines

Powered by the latest deep learning technology, our IKOSA Prisma microscopy image analysis applications allow you to gather astounding details from your sample.

New app: Cell Painting Assay

Evaluate automatically multi-well plate multichannel images that utilize five fluorescent dyes. Segment and quantify cells, nuclei and cytoplasm in each image.

Most popular app: CAM Assay

Quantify blood vessels in Chick Chorioallantoic Membrane Assay using IKOSA’s deep learning technology

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TOP IKOSA features at a glance

With all special IKOSA features at hand you have the tools to extract insightful multidimensional information from your image data. Our platform enables you to analyze images from various microscope sources and imaging modalities. Gain full control of your analysis workflow with our top features:

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Smart user collaboration

Work simultaneously, collaborate in the process, share an application, view each other’s output data. All this is possible within an IKOSA organization.

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Maximum accuracy in results thanks to AI automation

Automated image analysis provides the best result quality and reproducibility.

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Ongoing customer support and education

Support is always there in the form of educational materials and expert advice. Take a look at our tutorials to master image analysis with IKOSA.

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Broad range of imaging formats supported

Our platform supports a variety of digital image formats from different microscope devices, including 2D-, time-series-. multichannel- and Z-stack images.

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Region-of-interest support

Our versatile Region-of-interest (ROI) feature allows you to set a particular section of your input image into focus.

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Seamless system integration via API

IKOSA offers high compatibility with popular microscopy imaging systems and lab software packages thanks to our stable APIs.

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Learn the nuts and bolts of microscopy image analysis with us

The IKOSA Knowledge Base is our collection of customer education materials that will help you master any bioimage analysis task. Get access to helpful learning materials and tutorials on the workings of our software applications. Stay current with popular computer vision methodologies used in the study of images.

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Stay up-to-date with our new content

We provide you with current content from the world of bioimage analysis. Find out what’s new in your field.

Analysis of Osteosarcoma Cell Lines and Patient Tissue Using a 3D In Vivo Tumor Model—Possible Effects of Punicalagin

In this study, researchers investigated the potential of punicalagin as a supplementary treatment for osteosarcomas, the most prevalent primary malignant bone tumors affecting children, adolescents, and young adults. Despite current therapies like surgery and...

AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA

Traditional pathology utilizes stained blood smears viewed through microscopy, a technique still prevalent despite technological advancements. Typically, manual human assessment accompanies automated methods, maintaining simplicity but lacking comprehensive cell...

A Conversation with Dr. Sarah Barnett About Ethical Standards and AI Image Analysis in CAM models

Welcome everybody to today’s interview. The topic today will be “Bridging Science and Ethics: The Evolution of CAM Models, Ethical Standards, and AI Advancements”. Elisa and I are very excited to be speaking with Sarah Barnett from the University of Liverpool today....

Inspiring Hope: How The 3Rs Framework and the CAM Assay Model Set New Standards in Animal Testing

The growing public concern about the use of animals in research causes scholars to reevaluate and optimize existing experimental models. This has led to the rise of the 3Rs concept in animal testing. Thus, alternative in vivo and in vitro models fully replacing...

Getting It Right: How To Do Cell Confluency Measurement Like A Virtuoso

Discover the expert tips that will teach you how to calculate cell confluency with maximum precision. Embark on a journey through the world of cell confluency estimation together with us and equip yourself with the techniques and tools to achieve better results. From...

AI-Supported Quality Assurance in Stem Cell Bioprocessing: An Interview with Dr. Klaus Graumann

Welcome everybody to our interview. The topic will be “AI-supported quality assurance in stem cell bioprocessing”. Elisa and I are very excited to be speaking with Klaus Graumann today about the technological innovations and ongoing initiatives within his...

Development and Characterization of a Novel Neuropilin-2 Antibody for Immunohistochemical Staining of Cancer and Sarcoidosis Tissue Samples

A new antibody has been developed to target Neuropilin-2 (NRP2), a receptor involved in processes like lymphangiogenesis, cancer, and inflammation. This antibody, unlike existing ones, is specifically designed for companion diagnostics. Tests using various methods...

Automatic Detection and Classification of Leukocytes by Combining Microscopy Techniques with an Artificial Intelligence Algorithm

In cooperation with the company KML Vision, scientists at the Medical University of Vienna apply fluorescence techniques and machine learning to raise blood smear microscopy to a new level. They intend to apply AI algorithms to classify White Blood Cells into their...

Harnessing and Validating Deep Learning-based Image Analysis for Cell Painting as an Unbiased Approach to Phenotypic Drug Discovery

The field of target and drug discovery is rapidly embracing high-content (HC) image-based methods, such as Cell Painting. To address the complexity of tools like CellProfiler, we've introduced IKOSA AI, a user-friendly deep learning-based computer vision tool. IKOSA...

Isolation and Characterization of ZK002, a Novel Dual Function Snake Venom Protein from Deinagkistrodon Acutus with Anti-Angiogenic and Anti-Inflammatory Properties

ZK002 is a novel protein isolated from the venom of the snake Deinagkistrodon acutus. It has been shown to have both anti-angiogenic and anti-inflammatory activities in both in vitro and in vivo studies. Mechanistically, ZK002 inhibits activation of VEGF signaling and...

Our trusted partners

Over the years we have helped a number of renowned institutions from the biomedical field bring their research ideas into fruition. Here are some of our valued clients and collaboration partners.

IKOSA users share their stories

Here’s what acknowledged researchers and industry experts have to say about their experience using the IKOSA products.

Olivier Frey, PhD

Vice President at InSphero

“Our 3D microtissues contain massive information on human physiology and disease states and how treatments impact them. With the IKOSA Platform of KML Vision we have a tool at hand allowing us to extract this information in a very convenient and reliable way. The KML Vision team has been highly supportive in implementing their platform on our 3D organ models and ultimately increasing their value for our customers.”

Prof. Dr. Silke Härteis

University of Regensburg, Germany

“IKOSA provides a user-friendly premium software solution that meets high-quality standards at the same time. Thanks to it we have been able to bring our studies on the CAM Model a huge step ahead and we are eagerly looking forward to future joint projects.”

Anurag Jamaiyar, PhD

Brigham and Women’s Hospital, Harvard Medical School, Boston, USA

“At the moment, we have 12 IKOSA users in our lab, taking advantage of the platform for quantitative analyses of images from in vitro assays. We now get reproducible results and have ruled out the bias related to manual analysis. IKOSA is accessible online and we can use it wherever we are. We produce a variety of samples daily and process them in batches. We really appreciate the high throughput capabilities of IKOSA and the amount of time it saves us. Tedious analysis tasks are now more fun, and this keeps everybody motivated.”

Dr Irina Druzhinina

KEW Royal Botanic Gardens

“It is a pleasure to establish a long-term cooperation with KML Vision not only because of high efficiency and competence but due to the company’s open-minded policy and connectedness to the clients. My laboratory and our partners from the Sun Yat-sen University in China will keep working with KML Vision on developing the algorithms that allow us to uncover the physiology of fungi for their applications in biotechnology and agriculture.”

Prof. DI Dr. Johannes Schmid

Medical University of Vienna, Austria

“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.”