From Endpoints to Discovery, see how Ozette’s platform assesses assay precision, specimen stability, and the effect of sample storage on immune cells.
![See how Ozette Endpoints™ is utilized to automate the analysis of assay precision data and how Ozette Discovery™ is used to assess whole specimen stability to assess the effect of post-draw hold time and cryopreservation on immune cell subsets (3 lines)](https://www.ozette.com/wp-content/uploads/2024/05/CYTO_WebThumbBuilder-1024x576.jpg)
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.
Applying Ozette Discovery™ to CITE-seq data to identify predictors of disease.
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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.
Effective comparison of single-cell embedding visualizations.
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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.
Automated gating and antigen-specific T cells subset discovery using FAUST and COMPASS on ICS data.
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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.
Discovering data transformations for effective visualization of single-cell embeddings.
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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.
From assay to endpoints, see how Ozette’s proprietary processes deliver results.
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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.
Vaccination induces HIV broadly neutralizing antibody precursors in humans.
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Broadly neutralizing antibodies (bnAbs) can protect against HIV infection but have not been induced by human vaccination. A key barrier to bnAb induction is vaccine priming of rare bnAb-precursor B cells. In a randomized, double-blind, placebo-controlled phase 1 clinical trial…
A first-in-human germline-targeting HIV nanoparticle vaccine induced broad and publicly targeted helper T cell responses.
![](https://www.ozette.com/wp-content/uploads/2023/06/zcooper80_HIV_antibodies_thumb-1024x576.jpg)
The engineered outer domain germline targeting version 8 (eOD-GT8) 60-mer nanoparticle was designed to prime VRC01-class HIV-specific B cells that would need to be matured, through additional heterologous immunizations, into B cells that are able to produce broadly neutralizing antibodies. CD4 T cell help will be critical for the development of such high-affinity neutralizing antibody responses. Thus, we assessed the induction and epitope specificities of the vaccine-specific T cells…
Ozette’s AI in the battle against COVID-19.
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In-depth immune profiling reveals a T regulatory signature that correlates with COVID-19 disease severity, an important finding as Treg cells are potential targets for treatment strategies and fighting severe disease.
Going beneath the surface of skin cancer.
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We investigated our AI’s ability to predict treatment response to PD1 inhibiting immunotherapy in Merkel cell carcinoma and melanoma. We benchmarked our algorithmic approach against conventional analysis.