Use the Assisted Tree Builder to create
gating templates informed by robust
statistical insights. This empowers you to
automate and standardize gating across
experiments, while maintaining full control
over population definitions.


The result: scalable, reproducible analysis
workflows that remain flexible and agnostic
to experimental design.

Assisted Tree Builder

Drive Efficiency with Automated Pre-Processing and Downstream Analysis

From Data to Discovery

with Cytolution

Compensation

Transformation

Cleaning

Batch Effect
Correction

Clustering +
Dimensionality
Reduction

Cytoversity

Our Cytoversity is designed to empower you with

the latest skills and techniques in the field, guiding

you through everything from fundamental concepts

to advanced analytical strategies with Cytolution.


You will gain access to a personalized learning
dashboard where you can track your progress,

set goals, and engage in Q&A discussions to deepen

your understanding.


Cytolution offers a range of state-of-the-art
visualization tools — including
statistical
plots, UMAP, t-SNE, and our unique
CytoModel — to deliver deeper insights and
a clearer understanding of your samples.


Unique Cyto Model

Cytolution unlocks the full potential of
dimensionality reduction with minimal
information loss —
preserving variance
between cell populations for accurate,
high-resolution insights.

Dimensionality Reduction

Visualize every cell

Trusted by Leading

Research Organizations

Our pre-optimized, state-of-the-art
algorithms
automatically remove
technical variance — enabling reliable,
cross-sample comparisons, even in
multi-center studies


Batch Effect
Correction

Automated Population
Identification

Cytolution automatically identifies
populations based on marker expression
profiles aligned with your panel design.


Its panel-agnostic architecture enables full
flexibility — allowing you to even change
fluorophores within your experiment.


Identify key markers driving subpopulation
differences and apply state-of-the-art
algorithms for
rapid, data-driven decision-
making — all with just a few clicks.
Effortlessly
compare sample groups and
extract meaningful biological insights
from unsupervised analyses in minutes.


Cluster Explorer

Rethinking Flow Analysis.

Empowering Scientists.

Elevate your flow analysis with Cytolution — a next-generation cloud platform for
automated, scalable, and reproducible flow data analysis. Turn data into
actionable insights and accelerate your path from data to discovery.

Statistics

Leverage the Statistics tab to generate
customized plots and summary tables
— enabling
deeper exploration of your
analysis and clear,
data-driven
reporting of results.


Cytolytics GmbH l Karlstraße 3 l 72072 Tübingen l Germany

info@cytolytics.de

Cytolution is for research use only.

David Hertz, Postdoc

Borstel Reseach Center

Why Scientists Choose Cytolution

Using Cytolution has fundamentally changed the way I
think about flow cytometry data.
The structured user
interface guides the analysis, making complex processes
feel simple and manageable.
I especially value the bias-
avoiding data transformation and batch correction
features, as they have significantly enhanced the
reliability of my results.
What I appreciate most is how
Cytolution provides comprehensive insights into the data.
The flexibility to choose between manual and automated
gating has allowed me to tailor my analyses to specific
needs,
which is incredibly helpful. The support from the
Cytolytics team is exceptional.
Their high level of
expertise is unmissable, making me feel confident and
supported every step of the way.
Overall, I can say that
Cytolution is an excellent tool that has greatly enhanced
my research capabilities.

Daisy Philips, Senior Research Associate

Xilis B.V.

Cytolution has significantly sped up our
data analysis process, it has allowed for an
uniform way of analyzing the data and
using the same nomenclature in data, it has
allowed for more high quality data analysis
by being less dependent on the user.

It is an easy to use software which allows
for, partially, unsupervised data analysis
which helps generating high quality analysis
and clear visualizations while shortening the
hands-on time needed to perform the
analysis.

Where to Meet us Next

November 20

Oeiras

Portugal

September 9-12

Dresden

Germany

November 26-28

Dijon

France

September 18-21

Dubrovnik

Croatia