This year at CYTO, Ozette showcased "An automated approach to high-parameter spectral flow cytometry assay validation using a novel AI/ML platform to assess the precision and stability of predefined biomarker endpoints in the context of a 48-color pan-immune profiling panel." If you weren't able to catch us at the conference or want to take a closer look, download the event poster here.

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Methods such as CITE-seq simultaneously measure RNA and protein expression at a single cell level, but the protein expression data is frequently underutilized. Download our preprint to learn how we harness Ozette Discovery™ to achieve instantaneous in silico sorting of granular cell phenotypes, enabling identification of COVID-19-associated cell populations and precise RNA-seq profiling in mixed samples.

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At ISMB 2023, Ozette’s Trevor Manz lead a lively panel on effective comparison of single-cell embedding visualizations. To better understand the approach, challenges, and conclusions, learn more by downloading the event poster here.

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At ISMB 2022, Ozette Computational Biologist Malisa Smith, and Ozette Co-Founder Evan Greene, PhD VP of Quantitative Methods discussed automated gating and antigen-specific T cells subset discovery using FAUST and COMPASS on ICS data as well as how they reanalyzed a published Intracellular Cytokine Staining (ICS) dataset. Download the poster to learn more about their presentation.

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At ISMB 2022, Ozette’s Fritz Lekschas, PhD, Head of Visualization Research lead a fascinating discussion about data transformations for effective visualization of single-cell embeddings. If you weren’t able to attend, take a look at this beautiful and though provoking work.

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Recently, at CYTO 2023, we showcased how Ozette Endpoints™ and Ozette Discovery™ technologies leverage Artificial Intelligence and Machine Learning to deliver robust computational analysis pipelines and allow for rapid insights into complex high-dimensional data. View process details, methods, and case study examples in our detailed conference poster.

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