Users

Research labs and discovery teams worldwide

Cytely is used by imaging scientists, core facility managers, and HCS scientists in academic and pharmaceutical settings. Individual lab names are not disclosed by convention — the profiles below reflect the settings and workflows we support.

User profiles

Who uses Cytely

Academic Research Lab

Setting

A cell biology lab at a major Scandinavian research university, running longitudinal imaging studies on 3 different ZEISS and Leica confocal systems across two facilities.

The lab's multi-site study was generating inconsistent fluorescence intensity measurements across instruments — making it impossible to pool data from different imaging sessions without manual rescaling.

Cross-instrument CV reduced from ~37% to <7% after Cytely standardization. Data pooled from 3 systems without manual correction.

Pharma Drug Discovery

Setting

A high-content screening team at a European pharmaceutical company, running compound library screens on an Opera Phenix and an ImageXpress Micro Confocal in parallel.

Z' factors on the same assay were consistently 0.08–0.15 lower on one instrument compared to the other, despite identical biological protocols. Root cause traced to illumination non-uniformity in one system.

Cytely's flatfield correction brought Z' factors within 0.03 of each other across both systems. Campaign data now pooled for SAR analysis.

Imaging Core Facility

Setting

An imaging core facility at a research institute affiliated with a major European university, providing services to 40+ research groups on 8 different microscopy platforms.

User groups were generating non-comparable intensity measurements depending on which instrument they were assigned to for their experiment — leading to support requests and data interpretation conflicts.

Cytely deployed as a post-acquisition standardization step recommended to all users. Reduced intensity-related support tickets by the core facility team.

What researchers say

Cytely eliminated the instrument-to-instrument variability that was making our multi-site study results inconsistent. We can now pool data from three different microscope models.

Senior Imaging Scientist

A Scandinavian academic medical center

Our high-content screening assays now produce reproducible Z' factors regardless of which imaging system we run them on. Cytely has become a fixed step in our HCS pipeline.

Head of Cellular Imaging

A European pharmaceutical company

The flatfield correction and background normalization routines alone made our longitudinal study publishable. Reviewers commented specifically on the standardization methodology.

Postdoctoral Researcher

A research institute affiliated with a major European university

Add Cytely to your imaging workflow

Request a demonstration using images from your instrument setup — our application scientists will show you the standardization output on your own data.