A Decade of Bio-Digital Convergence
DefenSight’s analytical engine is the culmination of over a decade of peer-reviewed research in host-pathogen kinetics and high-content imaging (HCI). This extensive body of work provides the mathematical rigor and biological validation required for high-consequence CBRN-B decision support.
The Scientific Backbone
Led by our founder, Dr. Sonja Frölich, our foundational research across parasitic, bacterial, and viral models has established the industry-standard for quantitative phenotyping. These studies provide the validated datasets and assay discipline that allow DefenSight to deliver reproducible, interpretable imaging analytics in BSL-2/3 environments.
Methodological Provenance
The following publications detail the methodological evolution of our platform. They serve as the published basis for our feature-extraction logic and algorithmic transparency.
For TRL-specific performance data and Operational Validation Packs, please contact our technical team for a secure briefing.
Selected Publications:
1 | Pathogen-Host Metabolic Remodelling Shigella flexneri remodeling and consumption of host lipids during infection (2023). Journal of Bacteriology. doi: https://doi.org/10.1128/jb.00320-23
Operational Application: Validated the simultaneous detection of pathogen replication kinetics and host-cell metabolic stress. This allows for the characterisation of threat severity before traditional clinical symptoms appear.
2 | Mechanism of Viral Hijacking & Countermeasure Targets Genome-wide CRISPR screen identifies RACK1 as a critical host factor for flavivirus replication (2021). Journal of Virology. doi: https://doi.org/10.1128/jvi.00596-21
Operational Application: Advanced quantitative analysis of viral replication. Demonstrates the platform’s ability to quantify specific host-factors targeted by pathogens.
3 | ML-Driven High-Content Screening (HCS) Development of automated microscopy-assisted high-content multiparametric assays. (2020). Cytometry Part A. doi: https://doi.org/10.1002/cyto.a.23988
Operational Application: High-throughput, Machine Learning-based classification of cellular injury and genomic damage.
4 | High-Resolution Malaria Invasion Dynamics PfCERLI1 is a conserved rhoptry-associated protein essential for Plasmodium falciparum merozoite invasion of erythrocytes. (2020) Nature Communications. doi: https://doi.org/10.1038/s41467-020-15127-w
Operational Application: Multi-parametric quantitative mapping of Pathogen Invasion Trajectories. Demonstrates the sub-200nm precision required to distinguish between successful infection and neutralised pathogen particles.
5 | Zoonotic Threat Transmission Mapping Use of fluorescent nanoparticles to investigate nutrient acquisition by developing Eimeria maxima macrogametocytes. (2016). Scientific Reports.doi: https://doi.org/10.1038/srep29030
Operational Application: Analysis of pathogen transmission and phenotypic shifts. Example use case for modeling the transition of cyst-forming zoonotic threats.
For the full record of peer-reviewed datasets underpinning the DefenSight engine, see Dr Frölich’s Google Scholar profile.
Link: https://scholar.google.com/citations?user=ACJhd5oAAAAJ