Unlocking the spatial dimension: Maximizing insights from spatial omics data

Discover how spatial omics unlocks deeper biological insights by preserving spatial context. In this webinar, BioLizard and Pixelgen experts explore molecular pixelation, spatial data integration, and real-world case studies driving advances in precision medicine and drug discovery.

Watch our in-depth webinar delving into the cutting-edge realm of spatial omics technologies.

In this webinar, experts from BioLizard and Pixelgen Technologies guide you through how spatial omics can deepen your biological understanding by preserving spatial context within molecular analyses.

We will present an introduction to the pioneering molecular pixelation method for single cell spatial proteomics, and share insights into analysis of spatial omics data and integration of different omics data types – drawing on real-life case studies.

If you are a biotech professional interested in leveraging spatial technologies, and want more information on the advantages and details of utilizing the technology, this webinar is for you. Don’t miss this opportunity to explore the frontier of spatial omics and its implications for precision medicine, drug discovery, and beyond.

Want to learn more about spatial technologies? 

Spatial Transcriptomics

Spatial data is emerging as a new way to improve understanding of mechanisms of action underlying disease states. Improved understanding of disease mechanisms and modes of action leads to better clinical trial design. This enables the identification and validation of robust biomarkers, which aid in patient stratification and optimization of trial design. High-throughput single-cell omics screening and diagnostics are rapidly becoming a reality, and similar opportunities are expected with spatial technologies in the future.

The referred article was prepared by our in-house expert Dr. Viacheslav Mylka, you can find further information about the added biological and scientific value that spatial transcriptomics in particular may bring for your research projects.

How spatial biology improves clinical trial success in oncology

How spatial biology improves clinical trial success in oncology

In oncology, the drug development path is unique: Phase 0 and Phase I trials are typically conducted in patients rather than healthy volunteers, allowing for early assessment of efficacy and patient selection alongside safety. Yet, even with this early clinical insight, many cancer drugs show promise in the lab but fail to transition effectively into the clinic. This often happens because, while we verify that a drug’s target is present, we frequently overlook its context, specifically its location, the surrounding microenvironment, and its interaction with neighboring cells. By revisiting real-world examples of discontinued trials, this post explains why understanding the “where” is just as critical as the “what”, and how spatial biology is positioning itself as a valuable avenue for validating clinical potential.

Why bioinformatics workflows require experienced software engineers

Bioinformatics pipelines break for the smallest reasons: package updates, shifting dependencies, or “it only works on my machine.” This post explains why experienced software engineers and DevOps practices (Git, CI/CD, IaC) are essential to keep workflows reproducible, stable, and scalable.