Exploring the ZONTAL Platform – Flow Cytometry Spotlight

Flow cytometry is a powerful technique for understanding cellular behavior, but the complexity of its data and workflows often introduces challenges in reproducibility, trust, and efficiency. In this webinar, ZONTAL provides a deep dive into how its platform transforms flow cytometry workflows by connecting data, standardizing processes, and enabling interactive analysis directly within a FAIR data environment.

The Challenge of Flow Cytometry Workflows Today

Despite advances in instrumentation, many flow cytometry workflows remain highly manual and fragmented. Scientists often rely on spreadsheets to plan experiments, manually input metadata into instruments, and transfer raw data across systems using local drives, network folders, and email. The result is a disconnected process where critical context is lost, data becomes difficult to interpret, and validation requires significant effort.

When results are shared as static reports—typically PDFs—recipients are left without access to the underlying data, analysis steps, or experimental conditions. This lack of transparency frequently leads to repeated experiments, not because the data is incorrect, but because it cannot be easily verified or trusted.

Building a FAIR Data Foundation for the Digital Lab

The ZONTAL platform addresses these challenges by creating a FAIR data hub that connects instruments, systems, and workflows across the laboratory. By applying FAIR principles—making data findable, accessible, interoperable, and reusable—ZONTAL ensures that all experimental data is captured, enriched with metadata, and stored in a standardized, vendor-neutral format.

Through configurable data pipelines and integration capabilities, the platform automatically ingests data from instruments, databases, and applications such as ELNs and LIMS. During ingestion, data is enriched with contextual metadata and transformed into formats that can be easily accessed and reused across downstream applications. This creates a unified, searchable data environment where scientists can quickly locate and interpret results.

From Static Reports to Interactive Data Exploration

One of the most significant advancements demonstrated in this session is the shift from static reporting to interactive data exploration. Instead of sharing results as PDFs, ZONTAL enables scientists to share direct links to data packages that include raw data, experimental context, and analysis outputs.

With a single click, users can access and visualize flow cytometry data directly within the platform. This includes interactive plots, gating strategies, and channel analyses that allow users to interrogate results in real time. Scientists can explore data from specific wells, adjust visualizations, and validate results without needing to download files or switch between multiple tools.

Ensuring Reproducibility and Trust in Analysis

A major barrier in flow cytometry is ensuring that analysis workflows are transparent and reproducible. Differences in gating strategies, compensation methods, and data interpretation can lead to inconsistent conclusions, even when working from the same dataset.

ZONTAL addresses this by capturing not only the raw data but also the full analytical context, including gating hierarchies and processing steps. This allows recipients to review, reproduce, and validate analyses directly within the platform. By making the full analytical workflow accessible, ZONTAL enables teams to build trust in shared results and significantly reduces the need for redundant experimentation.

Streamlining Workflows and Reducing Manual Effort

By automating data capture, integration, and analysis workflows, ZONTAL eliminates many of the manual steps that traditionally slow down laboratory operations. Experimental planning data, instrument outputs, and analysis results are seamlessly connected, ensuring that no information is lost and that all data remains traceable throughout the workflow.

This streamlined approach allows scientists to focus on interpreting results rather than managing data. It also improves collaboration by providing a single source of truth where all stakeholders can access consistent, high-quality data without relying on fragmented systems or manual data transfers.

Advancing Digital Biology and Data-Driven Decision Making

As laboratories generate increasing volumes of complex data, the ability to harmonize, analyze, and trust that data becomes critical. ZONTAL’s approach to integrating applications directly alongside data enables faster, more informed decision-making and supports advanced analytics across discovery biology workflows.

By transforming flow cytometry data into reusable digital assets, organizations can enhance quality control, accelerate research, and unlock new insights without the burden of manual data reconciliation. This positions the platform as a key enabler of digital transformation in modern life sciences laboratories.