Single-Cell Technologies

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Single-Cell Technologies

Single-Cell Technologies

@SCTHungary

Our mission is to bring state-of-the-art machine learning and visualization techniques into the world of biology research.

Katılım Mayıs 2022
7 Takip Edilen77 Takipçiler
Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
Following the success of last year's Single-Cell Isolation Workshop, we are planning another workshop this fall @Szeged 🇭🇺, covering every topic from sample preparation to cell isolation. We are currently gauging your interest, no commitment required! sct.bio/single-cell-is…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
This Monday, Single-Cell Technologies (SCT) had the incredible honor of presenting our BIAS platform at Cambridge University for the Deep Visual Proteomics seminar organized by the CRUK Cambridge Institute, sharing the stage with our friends at Leica! sct.bio/2026/04/16/bia…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
We at Single-Cell Technologies would like to wish a very successful New Year to all our current and future partners. Thank you for being part of our journey!
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
What an amazing two days we had at our first ever multi-day Single-cell Isolation Workshop last week! A huge thank you to everyone who joined us, helped out, and made this such a success and we’re already looking forward to organizing the next one! sct.bio/2025/11/19/con…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
Meet us there tomorrow! • Találkozzunk holnaptól a Millenárison!
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
Science Expo 2025 We are excited to announce that Single-Cell Technologies (SCT) will be present at the 2025 Science Expo organized by the Hungarian Innovation Agency and HUN-REN, taking place at Millenáris, Budapest, from October 28–30. sct.bio/2025/10/13/sci…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
Last chance! Only 1 spot left and 1 day to go to register for our first-ever Single-Cell Isolation Workshop in Szeged (Nov 10–11, 2025). Learn sample prep, screening, image analysis & cell isolation! Register free: sct.bio/single-cell-is…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
Celebrating the Markusovszky Lajos Prize We are proud to share that this summer, our collaborative research was honored with the Markusovszky Lajos Prize, awarded by Orvosi Hetilap (Hungarian Medical Journal). sct.bio/2025/09/15/cel…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
We are excited to announce SCT's first ever multi-day Single-cell Isolation Workshop to be held at the Single Cell Centre, Szeged, Hungary on the November 10-11, 2025. Registration is free but places are limited sct.bio/single-cell-is…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
European Symposium on Single Cell Proteomics Last week, we had the privilege to join the 6th European Symposium on Single Cell Proteomics (ESCP) in Vienna. September 1, 2025 sct.bio/2025/09/01/eur…
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
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.
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
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.
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
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.
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Single-Cell Technologies
Single-Cell Technologies@SCTHungary·
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.
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