Two years ago, cytario was a side project. Today, it's our focus. Slash-m GmbH started as a consulting firm in medical software and digital pathology. Good work, real results, grateful for every bit of it. But the same problem kept showing up on every project: the tools for Spatial Biology weren't flexible, interoperable, or capable enough. People still ship hard drives. Still fight image-conversion pipelines. Still get locked into walled gardens. We built cytario to fix that — and it grew too important to keep on the side. So we're going all-in. Consulting becomes a small part of what we do; the platform becomes the focus. If you're asking a small company to handle your pathology data, you deserve to know exactly what's changing and why. We wrote it all down: https://lnkd.in/dnaPZdDn Let's build a better foundation for Digital Pathology. 🔬 #DigitalPathology #SpatialBiology
About us
Using the power of open-source software to connect pathologists, scientists and engineers across the digital pathology landscape.
- Website
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https://www.cytario.com
External link for cytario®
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Harth-Pöllnitz, Thuringia
- Type
- Privately Held
Locations
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Primary
Get directions
Köckritz 9
Harth-Pöllnitz, Thuringia 07570, DE
Employees at cytario®
Updates
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Multiplex IF is not brightfield with more colors. It’s a next order of magnitude kind of problem. In Software we have a rule: if you reach the next order of magnitude, you’ll need a new architectural approach. This is also true for mIF. You need - an image viewer that deals with 16bit - open interfaces to connect different kinds of image analysis pipelines - a solution to data transfer at the >100TB scale - etc. Have a look at this overview from Dr. Aleks Żuraw to see what changes when moving from brightfield to mIF. #DigitalPathology #MultiplexIF
Why does multiplex IF get harder exactly when the biology gets more interesting? Because once you move past 1–2 markers, visual review stops being enough and image analysis starts carrying the load. I see this as one of the biggest mindset shifts in digital pathology: multiplex IF is not just “more staining,” it’s a different kind of data problem. You’re no longer looking at one image and one impression. You’re dealing with multiple channels, wide dynamic range, tissue artifacts, and much bigger files that quickly push past what the human eye can manage alone. And even if the segmentation looks perfect, that still doesn’t answer the real question. The real work is turning image outputs into biological meaning that pathologists and scientists can actually use. That’s why multiplex IF works best when pathology, image analysis, translational science, and technical imaging expertise are all part of the same workflow. This breaks down where the bottlenecks really are and why image data science matters so much here. Watch the full episode through the link in the first comment. #DigitalPathology #MultiplexIF #ComputationalPathology #ImageAnalysis
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3️⃣ Three questions you need to ask your digital pathology vendor: - When you have a security breach, how much of our data is exposed? - Who at your company has access to our storage credentials? - Can a slide be accessed without the audit log naming who read it? Unfortunately, with most vendors the answers are unsettling. In the latest blog post from our CEO Martin Schulze, we explain why this is the case and what cytario® does differently. https://lnkd.in/da9Z9ZKD #DigitalPathology #CyberSecurity #ImageManagement #BioTech #WSI
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cytario® reposted this
Roche is acquiring PathAI for up to $1.05B. I've been thinking about this all day. PathAI built something genuinely good. Their team did serious work and a $1B+ outcome is a real achievement. Congratulations! I can't help but wonder if this is another case highlighting something structural about healthcare software: when you adopt closed, monolithic SaaS, you implicitly bet on the continuity and alignment of a single corporate entity. That bet has surprised customers before: Foundation Medicine, Flatiron, Paige, and now PathAI. When we started cytario®, we made choices that felt uncomfortable in the short term but right for the long term: - Open-Source AGPL-3 - The code outlives the company. - Highly modular - Every layer from auth and storage all the way to the viewer is replaceable independently. - Interoperability from day 1 - standard auth protocols (OAuth/OIDC) so any app can integrate, instead of proprietary SDKs - Open #standards as the spine: OME-TIFF, OME-NGFF, Parquet. - A German GmbH, #EU-jurisdictional, running on infrastructure customers control. It can be difficult to explain why these things matter, but today's news made that bet feel a little less abstract. What do you think about the deal? What will it mean for the industry? https://lnkd.in/dNP-R_Sb #DigitalPathology #OpenSource #PrecisionMedicine #Roche #PathAI
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Looking forward to #DigiPathLondon 2026 !
#DigiPathLondon might be some 8 and a half months away, but that has not stopped more than 30 sponsors and exhibitors signing up already! More than half the exhibition space has already been sold. Special thanks to Sectra and AIRA Matrix who return as platinum sponsors. Returning as Gold Sponsors this year are Indica Labs, Proscia, Diagnexia and Philips. Silver Sponsors include: OracleBio, Roche, Source BioScience, Viseur AI, Evident Microscopy and TileBio Bronze: Medica Group, EIZO and Sciento - IT Solutions for Life Science Lanyard Sponsors: Leica Biosystems And other exhibitors / supporters: Fujifilm Healthcare Europe, Lumea, PathQA, cytario®, Aurora mScope Inc, Smart In Media, Siemens Healthineers, Hamamatsu Photonics Europe, SCC Soft Computer, Histomography, CROpath LLC, Gpi Group, Axlab, Barco and Epredia #DigitalPathology
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The Cytario open platform launched today at #DigiPathLondon. Come learn more about it and meet our founding members, Martin Schulze and Johannes Siedler at Booth #28. #DigitalPathology #ComputationalPathology #OpenScience #OpenPlatform
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We told you we'd be launching an #open platform today. So here's the first step: cytario-web is available as #opensource software now. cytario-web is a web viewer for #DigitalPathology at literally any scale. As of today it supports ome.tif, but ome-zarr is next in line and already working in principal. We're also looking into further formats so stay tuned as 2026 rolls around. Find it on GitHub here: https://lnkd.in/d3eAeTqt Of course there's also a commercial license and a SaaS option available just talk to us so we can find out what fits best. Check out our website for more information or schedule a meeting right now: https://lnkd.in/d5etZxcG
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cytario® reposted this
Off to London to finally unveil cytario® at #DigiPathLondon — find me at Booth #28 !
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1 week until we launch at #DigiPathLondon — time to share a bit more of our secret sauce. Our Co-Founder Johannes Siedler explains how we visualize AI results at enormous scale. 🔬 What if your viewer spoke the same language as your analysis tools? Most pathology platforms sit behind databases or proprietary formats. Every iteration means conversion, ingestion, waiting. cytario reads Parquet natively. Your Python output is your viewer input. No translation layer. No infrastructure to maintain. 📖 Read the full article: https://lnkd.in/de4JwqQ8 #DigitalPathology #ComputationalPathology #OpenScience
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Do you know the origins or #DigitalPathology? ⌛ In 1996, researchers adapted satellite imaging technology to view microscopy slides—seven years before Google Maps existed. For the next 25 years, the architecture barely changed: massive files on servers, proprietary formats, vendor lock-in, and infrastructure you had to maintain just to view a slide. Then 2021-2022 happened. WebGL 2.0. WebAssembly. Cloud-native formats. Suddenly browsers could fetch image chunks directly from storage and render them on the GPU. No tile servers. No processing infrastructure. The entire server layer became optional. We wrote the story of this 30-year transformation—from satellite imagery origins to the architectural shift that's finally making computational pathology possible. 🔗 https://lnkd.in/dj3auJvK Want to discuss in person? Meet us at #DigiPathLondon — Booth 28, December 10–11.