Service Facilities and CRO's

Learn about the key advantages our solutions present to contract research organizations and MSI service facilities. Our Nexus platform enables you to empower your clients, improve your internal operational effiency and remove the need to obtain deep IT expertise to support your workflows.
The aforementioned advantages are all based on the Nexus platform's fundamental features:

Empower Your Clients

Within the Nexus platform, you can organize data sets, analyses and reports within projects that can be shared with your clients. Your clients can securely access all results from the services you've provided, or even investigate their data themselves within your platform.
Empowered business woman

Direct access to data and tools

Empower your clients with the ability to investigate their own data within your Nexus portal. No additional software or licenses required, it's all part of the package.

Interactive, holistic reports

Sprinkle some mojo onto your reports with fully interactive webpages that summarize the results of your services, including ion images, whole-slide images and spectral information.

Smooth remote collaboration

Enable all your collaborators to securely access and jointly analyse data via the web, regardless of their physical location.

Boost Your Operational Efficiency

Maintaining high throughput while delivering best-in-class results is a key aspect of running high quality labs. Our dedicated data workflows provide a digital backbone to distribute and track tasks among your team members, while also providing built-in, data-driven QC for your analyses.

Workflows

Leverage workflows that capture all necessary actions within an analysis, along with who can perform them, to efficiently distribute and track tasks. Problems can be signalled via notifications.

Personalized dashboards

Each member of your team has access to personalized dashboards that enable them to identify actionable tasks based on their expertise and responsibilities.

Built-in, data-driven QC

The Nexus platform provides built-in, data-driven QC for key steps in your workflows to enable you to automatically detect an array of potential issues, thereby enhancing your overall quality.
Maximum efficiency

Turnkey IT solutions

The Nexus platform is a turnkey solution covering the digital lifecycle of your experimental data and its associated metadata, as well as analysis procedures up to holistic reports. Nexus provides a scalable system with virtually unlimited data storage and on-demand computational capacity capable of terabyte-scale analyses. Focus on your core business while we handle the IT concerns.
IT infrastructure

Scalable by design

Our platform is backed by high performance cloud computing infrastructure, allowing seamless scaling to petabytes of data storage and analyses covering terabytes of data, without complex configurations on your behalf.

Best-in-class security

All data stored within the Nexus platform is secured according to current best practices. Our security system is regularly audited and updated by experts to keep your confidential data safe from accidental deletion or unauthorized access.

Integration options

Nexus supports deep integration with third party systems you may be using, such as databases, object stores, etc. Conversely, data and metadata can be queried from our platform via dedicated API's.

Joint research with Aspect Analytics

As a KU Leuven University spin-off, Aspect Analytics has strong scientific roots, as evidenced by our scientific publications. We remain active in cutting-edge research, with our core expertise encompassing bioinformatics, machine learning and mass spectrometry.

Bioinformatics

We have broad experience analysing biological data, with a primary focus on mass spectrometry imaging and microscopy data analysis. We are currently actively researching techniques for true multimodal data fusion across various imaging and non-imaging modalities.

Machine Learning

Our machine learning expertise includes deep learning, hyperparameter optimization, building and evaluating predictive models in an unsupervised context, as well as Bayesian inference.

Mass spectrometry

We have a long-standing research history in mass spectrometry imaging, including a recently published review paper together with prof. Caprioli. In addition to MSI, we are increasingly involved in analysis of complex LC-MS data.
Two scientists doing joint research