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Verhoeven, previously of Velsera and UgenTec, will join Aspect Analytics as Executive Chairman.

Aspect Analytics was thrilled to reunite with some of our mass spectrometry imaging project partners and our collaborative projects at the 2nd Annual Conference on Mass Spectrometry Imaging and Integrated Topics (IMSIS).

Aspect Analytics' Weave® platform for spatial multi-omics data analysis was presented at the 25th International Mass Spectrometry Conference (IMSC).

GLIOMATCH is a Horizon Europe project with the ambition of pioneering targeted brain cancer treatment. KU Leuven leads the GLIOMATCH consortium uniting over a dozen pan-European partners from 10 different member states, including Aspect Analytics

Aspect Analytics are excited to announce our inclusion in this project, funded by the European Interreg Flanders-Netherlands subsidy program.

The final part of this series, Aspect Analytics' Weave® platform for spatial multi-omics data analysis was presented at the inaugural Spatial Omics conference, hosted by VIB.

In part two of this series, Aspect Analytics' Weave® platform for spatial multi-omics data analysis was discussed in two separate presentations at this meeting.

In this series, we recap three different conferences where we officially welcomed Weave®, Aspect Analytics’ spatial multi-omics data analysis platform, here to make spatial multi-modality a formality!

Our Machine Learning Scientist Wanqiu Zhang and Bioinformatician Maria Mantas were invited to present their work in the US HUPO New Frontiers in Spatial Omics webinar series.

The use of multi-omics technologies is increasingly being adopted to investigate spatial biology questions in health and disease, biomarker discovery and drug development. We provide an introduction to spatial multi-omics data analysis, and the specific opportunities and challenges that can be encountered. This post focuses on the different kinds of readouts from omics technologies and how integration can aid biological research.

It's possible to spatially map proteins, transcripts, lipids and more in tissue samples using spatial omics techniques. When their powers combine, you get spatial multi-omics!

(20 mins) Nico Verbeeck, COO of Aspect Analytics, presents our software which supports spatial multi omics across a range of techniques, applications and users. Recording from the Biomarkers UK 2024 meeting.

Mass spectrometry (MS) is an analytical technology that measures the mass-to-charge ratio (m/z) of one or more molecules present within a sample and determines their relative abundance. In this introductory post, we will briefly discuss how mass spectrometry works and point out some intricacies of MS data.

In this post, we provide a high-level introduction to MSI technology along with the specific challenges and opportunities it brings in terms of data analysis. This post focuses on introducing some nomenclature and describing the main aspects about working with MSI data from a data science perspective.

In this first post of the series, we will discuss three linear approaches to factorization of MSI data, namely Principal Component Analysis (PCA), PCA + Varimax and Independent Component Analysis (ICA).

In this blog post, we continue our overview of unsupervised data analysis approaches commonly used in MSI, diving deeper into factorization methods. This time we will take a closer look at the results of principal component analysis (PCA) in MSI, and compare these to the results of nonnegative matrix factorization (NMF).

As a software development company, choosing the right tools for the job is of paramount importance. In this post, we will explain why we opted to use Clojure for the full web stack of our platform. When building complex software, leveraging a language that not just supports but actively promotes good engineering practices provides key benefits in terms of efficiency, readability, maintenance and robustness.

Are you confused by all the acronyms used in mass spectrometry imaging? In this post, we will describe the main ionization techniques and tackle some of those pesky acronyms in the process.

In continuation of our quest to elucidate technical terms in mass spectrometry, this post describes the most commonly used mass analyzers in imaging, namely time of flight (TOF), Orbitrap and Fourier transform ion cyclotron resonance (FTICR).

In this blog post we introduce you to the wonderful world of glycans, an interesting analyte for which mass spectrometry imaging is proving to be particularly powerful.

In this blog post we go back to the roots of mass spectrometry imaging, and describe its first breakthrough application on biological samples: analyzing the spatial distribution of proteins and peptides in tissue.

In this blog post we explore lipid imaging with mass spectrometry, particularly the technical considerations, applications, and limitations.

In this blog post we look at the use of mass spectrometry imaging for investigating small molecules such as drugs and metabolites and then a quick overview of different metabolomic MSI studies and some challenges facing this area but also tools that can help you with your drug metabolite study.

In this series of blogs, we address different aspects of spatialomics and spatial multi-omics, a rapidly emerging field that looks at molecular markers of cells and tissues in a spatial context. To understand the importance of spatialomics, we have to understand Histology, right at the birth of modern medicine.

Continuing the series of blogs on spatial omics, let's look at how ye olde histology techniques aid and are being integrated into modern omics.

In this entry, we delve into the OG spatial proteomics technique - immunohistochemistry.

After a pause of two years, the annual American Society for Mass Spectrometry (ASMS) meeting has come and gone. Now that we’ve recovered from the joy of reconnecting with everyone in person again, here’s a recap of what Aspect Analytics presented at Minneapolis in 2022.

Following on from the last blog, so you're doing immunohistochemistry and want to know how to view it? Here's our overview entry on the different methods involved.