Kolaido GmbH

Join us at the ABRF AI in Bioimaging Community Discussions on Sept 10 at 12pm EDT to explore how we build trustworthy AI with IKOSA and our unique partnership at Kolaido GmbH

Register here: https://rb.gy/ver91d

🔬 Let's put the spotlight on the real experts! Instead of boasting about our product, we're thrilled to share the voices of industry and academia professionals who've experienced it firsthand.

🌟 Bring your use cases and challenges to the table. We're eager to collaborate and advance Life Science research together with you!

🔍 Did you know it might take up to 2 weeks to process only 100 images for a fully employed researcher manually? Do you experience the same challenge in your company or your position? https://shorturl.at/gwyO0

We can help you solve your challenges with existing AI apps in our portfolio, develop an exclusive app, or enable you to do it yourself without any coding! 💡

Sounds interesting? Then check our presentation and feel free to get in touch. 🚀

🔬🎧 Join us on our "Inside AI in Life Science" podcast series!

https://www.linkedin.com/pulse/easter-reminder-our-podcast-series-inside-ai-life-science-kmlvision-dgdwf/

Explore the fascinating world where Artificial Intelligence meets Life Science. From groundbreaking research to ethical considerations and AI applications, each episode features experts at the forefront of innovation.

🔬 Explore the Power of Angiogenesis Solutions! https://www.slideshare.net/slideshow/angiogenesis-use-cases-solved-with-ikosa-89c4/267070149

Curious about how our apps can tackle diverse angiogenesis challenges? Dive into our existing apps to witness the magic yourself!

✨ Evaluate vascular structures
✨ Measure dynamics of scratch closure
✨ Analyze the sprouting of spheroids in 3D matrices
✨ Quantify endothelial network parameters..and much more!

Empower your team to automate even the most intricate image-based tasks, ensuring reproducibility and traceability every step of the way.

🌱💻🔍

Angiogenesis Use Cases Solved with IKOSA Angiogenesis Use Cases Solved with IKOSA - Download as a PDF or view online for free

🔍 Uncover the secret to efficient cell confluency measurement! Our latest article explores cutting-edge techniques and software tools to help you achieve optimal results in confluence estimation https://www.linkedin.com/pulse/tips-tricks-optimal-results-cell-confluency-measurement-kmlvision-emqof/

💯 Increase the reliability of your experiments by mastering these methods!

A breakthrough in osteosarcoma research! 🦴 Punicalagin emerges as a promising supplementary treatment, showcasing significant effects in a 3D in vivo study https://www.mdpi.com/2674-1172/3/1/4

Results reveal reduced tumor weight, angiogenesis, and proliferation, offering hope for improved treatment outcomes. The study underscores the potential of punicalagin in advancing cancer therapy 🔬

IKOSA was a part of this discovery. Our CAM Assay Application helped to reliably detect thin and superficial blood vessels. 🩸🔍

Universities: University of Regensburg, the Technical University of Munich, the University Hospital of Hamburg Eppendorf, the Hospital Barmherzige Brüder Regensburg, and the Deggendorf Institute of Technology

Image: HE, Ki-67, and Caspase-3 staining of two representative CAMs engrafted with MG-63 cell line tumors from the group treated with punicalagin https://doi.org/10.3390/organoids3010004

After three years, master projects with the student group from the eHealth Institute at FH JOANNEUM eHealth have become a tradition at KML Vision. 🌐 We empower the next generation of eHealth specialists to gain hands-on software development experience. 🚀

Supervised by Bernhard Neumayer and Jakob Hatzl, students Melina Kampitsch, Anna Kramer, and Verena Pichler developed a new UI for our sales team, simplifying IKOSA platform subscriptions. 🛠️ This tool will scale up our platform, aiding more customers with bioimage analysis challenges. 📈

Big shoutout to the institute head, Robert Mischak, for facilitating this collaboration, benefiting both students and companies. 👏 Looking for an ambitious eHealth master's thesis project? Contact us! 🎓

Photo provided by Bernhard Neumayer.

🧠 Scientists from the Medizinische Universität Wien have automated multiple blood cell types detection and classification using IKOSA compared to previously published algorithms https://www.mdpi.com/2673-5261/5/1/3 #

Neutrophils, lymphocytes, eosinophils, monocytes, erythrocytes, and platelets can now be all seamlessly analyzed. 🩸💻 Beyond manual assessment by humans, this approach delivers quantitative measurements and sophisticated analyses based on entropy and gray-level co-occurrence matrices (GLCMs). 📊🔬

🌐 This innovation could redefine routine diagnostics, offering crucial insights into disease states and treatment responses.

🎓 Proud collaboration between Manuel Campos-Medina, Aiden Blumer, and Johannes A. Schmid from the Medical University of Vienna and Patrick Kraus-Füreder, Michael Mayrhofer-Reinhartshuber, and Philipp Kainz, from KML Vision.

🧪🔬 The novel antibody Neuroplin-2 developed by aTyr Pharma holds immense potential for the study of diseases like sarcoidosis and cancer. https://www.liebertpub.com/doi/10.1089/mab.2023.0007

Our software solutions continue to pave the way to understanding central processes in inflammation and carcinogenesis.

Let IKOSA empower your research, too!

Contributors: Sarah Förster, Yeeting E. Chong, David Siefker, Yvonne Becker, Ruizhi Bao, Erik Escobedo, Yang Qing, Kaitlyn Rauch, Luke Burman, Christoph Burkart, Philipp Kainz, Andrea Cubitt, Michael Muders, Leslie A. Nangle

🌐 Last week, our CEO Philipp Kainz participated in the Second CAM Conference in Erlangen with an insightful talk on "Advancing CAM Image Analysis Using Deep Learning Software." 🚀

We're sharing his slide deck with the CAM community. Download the presentation here: https://www.slideshare.net/slideshows/advancing-cam-assay-image-analysis-using-deep-learning-software/266271686

🔬 Curious about our CAM Assay solution? Feel free to reach out and discover more: https://www.kmlvision.com/about-us/contact/

Advancing CAM Assay Image Analysis Using Deep Learning Software Advancing CAM Assay Image Analysis Using Deep Learning Software - Download as a PDF or view online for free

🚀✨ Join us as Dr. Sarah Barnett from the University of Liverpool shares insights on Ethical Standards and AI Image Analysis in CAM models. We also talk about her groundbreaking research, the role of AI, and the quest for personalized medicine. 🌐👩‍🔬

Ready to explore the future of biomedical research? Read the full interview here: https://shorturl.at/bEKZ2

Ethical Frameworks and the Transformative Potential of AI Shaping the Future of CAM. Explore the dynamic interplay between science and ethics in CAM models, ethical standards, and AI advancements.

💬 Get ready for the latest insights in CAM research! The 2nd International CAM Conference brings together thought leaders in the field one more time. Delve into the details: https://www.kmlvision.com/cam-assay/

🎓 Hosted by Prof. Regine Schneider-Stock and the organizing team at Uniklinikum Erlangen and FAU Erlangen-Nürnberg, this one-of-a-kind event offers fresh perspectives on the latest practices, tools and discoveries in CAM research.

Don’t miss any of the sessions featuring our specialized CAM Assay image analysis software!

🌱🔬 A team at UCL and metalchemy_uk revolutionizes wound healing research with a new sustainable eggshell-derived biomaterial. Learn about the role of the CAM Assay in testing the effects of AgNPs-ESM. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531947/

We are particularly glad that the IKOSA CAM Assay Application paves the way for such groundbreaking healthcare solutions.

👏 Congratulations to the inquisitive minds behind this study!

Rosemond A. Mensah, Federico Trotta, Emily Briggs, Nik San Sharifulden, Lady V. Barrios Silva, Zalike Keskin-Erdogan, Seyta Diop, Alvena K. Kureshi, David Y. S. Chau