Posters, papers, and abstracts.
Our latest peer-reviewed research, conference posters, and scientific abstracts.
Ozette's data-driven panel development strategy incorporating novel high-performance dyes into our 48-color PIP-01 pan-immune profiling assay.
At CYTO2025, Ozette provided a detailed overview of our approach to data-driven panel design through CD4 characterization and computational performance metrics — assessing the impact of replacing Brilliant Blue™ reagents with recently developed Real Blue™ reagents in our 48-color PIP-01 assay.
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Ozette Discovery™ elucidates the effect of blood collection matrices and cryopreservation on phenotypic subset abundance.
At CYTO2025, Ozette demonstrated how our ML-driven Discovery™ platform identified differential phenotypic abundances in fresh vs. cryopreserved PBMC from blood collected into three commonly used stabilization matrices, as part of the supplemental validation of our 48-color PIP-01 pan-immune profiling assay.
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A General Framework for Comparing Embedding Visualizations Across Class-Label Hierarchies
At VIS 2024, Ozette's former intern Trevor Manz presented work conducted in collaboration with Nils Gehlenborg's lab at Harvard Medical School — a general framework for comparing embedding visualizations across class-label hierarchies, published in IEEE TVCG. Ozette uses this methodology to identify and visualize compositional differences between single-cell datasets.
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Pharmacodynamic and response biomarkers in the monotherapy arm of a phase 1 trial of CTX-471, a novel anti-CD137 agonist antibody
At SITC 2024, Ozette's partner Compass presented findings from the monotherapy arm of their CTX-471 phase 1 trial. Treatment elicited changes consistent with increased anti-tumor immunity, including NK cell activation status and tumor-specific marker expression — identifying potential biomarkers for patient selection.
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High-dimensional spectral cytometry paired with computational technology provides insights into healthy donor blood products to accelerate allogeneic cell therapy development
At SITC 2024, Ozette's Head of Immunology, Ashley Wilson, presented how we use our 48-color spectral cytometry assay and AI-driven analysis platform to better identify optimal donors for allogeneic cell therapy — finding that donor characteristics can impact the suitability of blood products.
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Pairing high-parameter spectral flow cytometry with CITE-seq using a novel automated AI-based analysis platform to characterize immunophenotypes and cell states
At SITC 2024, Ozette's Zoey Zhou presented how we applied our AI-driven analysis platform to streamline analysis of paired spectral flow cytometry and CITE-seq datasets, identifying robust immunophenotypes to inform CITE-seq differential expression analysis.
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