Invite you to a two day, in person Single-cell Isolation Workshop

to Szeged, Hungary on the 27th and 28th of October, 2026

Topics

In this practical workshop, our team at the Single Cell Centre and Single-Cell Technologies will walk you through the exact approaches we use to prepare cells and tissues for robust screening, from dissociation to staining, QC, and handoff to instrumentation.

Sample preparation Whether your screening pipeline is imaging-based, high-content/HTS, or single-cell omics, you’ll learn how to avoid common pitfalls and standardise your prep so your data are clean, consistent, and comparable across runs.

Microscopy

Learn how we screen our samples with the latest microscopes from Revvity (for High-Content Screening), Leica (Lightsheet 3D) and 3DHistech (Histopathology). If you feel adventurous, you can bring your own sample to screen it here.

BIAS The BIAS development team is happy to guide you through the details of image analysis with the our Biological Image Analysis Software. Learn all the trips and tricks how to create the most efficient pipeline and deploy it to analyze thousands of images.

Single-cell Isolation Learn our best practices and developments in high throughput single-cell isolation and collection for multi-omics

Register here for free

I’m interested!

Register here for free

I’m interested!

Agenda

Oct. 27th – 09:00 – 10:30

Sample preparation

Cell cultures

09:00 – 10:30

Sample preparation

Histopathology, tissue

13:00 – 14:30

Screening

Fluorescent, high content (Revity Operetta)

14:30 – 16:00

Screening

Histopathology (3DHistech P1000 / P250)

Oct. 28th – 09:00 – 12:00

Image Processing

Introduction to the BIAS software

13:00 – 15:30

Cell Isolation

Leica LMD (6, 6+, 7)

Intorduction to HunCut Software

Special guest: Dr. Falk Schlaudraff from Leica

A program a Tudományos és Technológiai Minisztérium Nemzeti Kutatási, Fejlesztési és Innovációs Alapból nyújtott támogatásával, a 2026-4.1.1-MISSZIÓK pályázati program finanszírozásában valósult meg.

The program has been implemented with the support provided by the Ministry of Science and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the 2026-4.1.1-MISSZIÓK funding scheme.