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2022 was a year of changes, challenges and chances for SCT. We are leaving a busy and successful year behind and hoping to do even more next year. May everyone have a wonderful holiday season! See you in 2023!

We are delighted that Mathias Mann - Director at Max Planck Institute of Biochemistry & at Novo Nordisk Foundation Center for Protein Research - visited us. After his lecture we showed him our ongoing projects and discussed possible future collaborations. A busy but fruitful day.

Vojtěch Sanetrník, the COO of Telight Co. visited SCT yesterday. It was great to meet him in person and show him our software and hardware products. We are really enthusiastic about future collaborations. #Microscopy #SingleCell

With Prof. Marko-Varga and his team from Lund University we visited the Dept of Pathology at University of Szeged, the Eli Alps, the Szeged Biobank and the Single Cell Center at HUN-REN Biological Research Centre, Szeged. The Melanoma Megastudy project aims to analyse melanoma tissues to fight the disease.

We have patented a unique high-content screening solution for imaging 3D cell cultures. Judith Reddington from Leica presented the process, involving imaging with STELLARIS Light SHEET DLS, at Focus on Microscopy 2023. Contact us for a demonstration of the complete system.

Presenting our work and goals in the most simple and straightforward way has always been our goal. We have recently shot a short video with No Total Films to show how we work every day to fight cancer and help ill people. To find out more watch out for our video coming soon.

With BIAS you can process cell painting assays which allow imaging of cells labelled with six fluorescent dyes to reveal a total of eight cellular components or organelles.

Some of our colleagues participated in a roundtrip in Germany, visiting collaborators at EMBL and the Heidelberg University Hospital. It was nice to share scientific achievements and meet everybody in person. Thank you for the invitation and the good company.

SCIMS is our Single-Cell Information Management System, a laboratory management system that makes tracking and processing data easy and comfortable. Increase your laboratory's efficiency by creating seamless workflows and keeping track of all your samples and experiments.

Tumor spheroids are invaluable tools in cancer research and in understanding tumor biology. The miniature, 3D replicas faithfully mimic the complex structures and behavior of real tumors. We continuously improve BIAS to enhance the automatic evaluation of 3D spheroids.

Are you tired of using the same old techniques to study tumor spheroids? Using cutting-edge algorithms and AI to automate segmentation and analysis of complex 3D tumor spheroids, BIAS will identify and isolate each individual nucleus for you, saving you hours of laborious work!

First sneak peek of new functions in the upcoming BIAS 1.3 release. Revamped GUI and interactive deep-learning based phenotype classification. More updates will come soon, stay tuned :)

Using BIAS, we have developed an automated method to segment and cluster spheroid samples, enabling the identification of novel phenotypes. Our interactive clustering module effectively classified multicellular tumor spheroids into 3 distinct classes.

We went on a joined retreat with the BIOMAG from the HUN-REN Biological Research Centre, Szeged. We shared and shaped future plans, did some team building and had some fun. And the food was also exquisite. :)

SCT announces biomedical and regulatory services in high-content screening, digital pathology and 3D imaging. linkedin.com/feed/update/ur… For more information contact us at [email protected].

BIAS is an outstanding tool for the analysis of high-content screening data while providing rapid, fully automated, and unbiased assessment of biological samples. This example is from one of our publications (cell.com/cell-reports-m…) where we did a serology test for SARS-CoV-2.

A freshly published Nature article (nature.com/articles/d4158…) emphasizes the crucial role of deep learning algorithms in analyzing microscopy images. We are thrilled that one of our most recent achievements, a fully segmented 3D human carcinoma was used to illustrate the method.

Revolutionize your research with a fully automated pipeline for 3D cell cultures! BIAS offers deep learning based 3D nucleus segmentation combined with feature extraction and classification. The user-friendly and interactive display aids in visualizing your results.

The first article of 2024 where our software was used. "The Biology Image Analysis Software was used to evaluate HE images..." link.springer.com/article/10.100…

LINUX version of the BIAS Lite is released today! (single-cell-technologies.com/download/)