🚀 Did you miss us at #SITC2024? Catch up on our latest research posters (link ⬇️) and see how we're advancing the fields of #cancerresearch #immunotherapy #cytometry #CITEseq 🌐 https://lnkd.in/g_XyuKQ8
Ozette
Biotechnology Research
Seattle, WA 2,106 followers
Unlocking the power of the immune system to treat and prevent disease
About us
Enabling the next generation of breakthroughs in treating human disease.
- Website
-
https://www.ozette.com/
External link for Ozette
- Industry
- Biotechnology Research
- Company size
- 11-50 employees
- Headquarters
- Seattle, WA
- Type
- Privately Held
- Founded
- 2021
Locations
-
Primary
Get directions
Seattle, WA 98119, US
Employees at Ozette
Updates
-
📢 Join Ozette at #SITC2024 TODAY at these three posters: 📝 Poster 227: “High-dimensional spectral cytometry paired with computational technology provides insights into the cellular features of healthy donor blood products to accelerate allogeneic cell therapy development” ➡️ Ashley Wilson 📝 Poster 1251: “Pairing high-parameter spectral flow cytometry with CITE-seq using a novel automated artificial intelligence-based analysis platform to characterize immunophenotypes and cell states” ➡️ Zoey Zhou 📝 Partner Poster 679: "Pharmacodynamic and Response Biomarkers in the Monotherapy Arm of a Phase 1 Trial of CTX-471, a Novel Anti-CD137 Agonist Antibody" ➡️ Kris Sachsenmeier Catherine Sanders Cherie Green Ali Ansary Ned Sherry Michael Comeau Arpan Neupane
-
-
👋 Checking in from #SITC2024! We're excited to invite you to see the work of Ozette Partner, Compass Therapeutics Inc. during the show. Poster session details ⬇️ 📍 Poster #679 | "Pharmacodynamic and Response Biomarkers in the Monotherapy Arm of a Phase 1 Trial of CTX-471, a Novel Anti-CD137 Agonist Antibody" ➡️ Presenter: Kris Sachsenmeier ⏰ Time: 12:15-1:45 pm & 5:30-7:00 pm CST #SITC2024 #Immunotherapy #CancerResearch
-
📣 At #SITC2024? Come see what Ozette’s been up to at Booth 733 and join our poster sessions on Friday, Nov. 8th. Details below ⬇️ Poster 227: “High-dimensional spectral cytometry paired with computational technology provides insights into the cellular features of healthy donor blood products to accelerate allogeneic cell therapy development” ➡️ Ashley Wilson Poster 1251: “Pairing high-parameter spectral flow cytometry with CITE-seq using a novel automated artificial intelligence-based analysis platform to characterize immunophenotypes and cell states” ➡️ Zoey Zhou #SITC2024 #SITC #cancerresearch #immunotherapy #cytometry #CITEseq
-
-
🔎 Explore Ozette at #SITC2024 in Houston, TX 🔍 Connect with the Ozette Team at booth 733 and learn how we accelerate therapeutic R&D through quality, high-dimensional data, and human expertise paired with purpose-built technology. #DataQuality #FlowCytometry #SingleCellAnalysis #Innovation Ali Ansary Cherie Green Catherine Sanders Ned Sherry Michael Comeau Ashley Wilson Arpan Neupane Zoey Zhou
-
-
🎬 Behind the scenes conference prep! Looking forward to learning about all the exciting updates in the field at #SITC2024. Come see Team Ozette at booth 733 in Houston from November 8-10. Cherie Green Michael Comeau Catherine Sanders Ned Sherry #SITC #cancerresearch #immunotherapy #cytometry
-
-
🎉 Congratulations to Ozette's Head of Visualization, Fritz Lekschas, and former Ozette intern, Trevor Manz, on their recent publication on comparative embedding visualizations. Read more about it and test it for yourself below ⬇️ #datavisualization #singlecellanalysis #machinelearning
I am thrilled to share that our work on comparative embedding visualizations is published at the premier IEEE VIS conference (https://lnkd.in/eQj9szis). In the paper, we introduce a powerful framework and computational metrics for comparing embedding visualizations across class-label hierarchies to help discover meaningful differences quickly. ➡️ Test it yourself: https://lnkd.in/eKsem_4s When working with multiple large-scale datasets (e.g., single-cell data), tools like t-SNE, UMAP, PCA, etc. are frequently used for plotting to get an understanding of the class distributions (like cell phenotypes). Unfortunately, when comparing multiple such plots (e.g., from two experimental conditions or two embedding models), the size, complexity, and distribution shifts of the data can make it challenging to identify changes. Our solution is to compute metrics for groups of points as defined by class labels. This allows us to compare datasets without point correspondences and surface insights at different semantic levels. We do this by constructing a Delaunay neighborhood graph and dividing it into a core, context, and combined region for each class. Using the resulting subgraphs we summarize the class distributions to derive three metrics: confusion, neighborhood, and size. Confusion quantifies the visual intermixing of classes. Neighborhood measures the stability of neighboring class labels. And Size assesses relative class size differences in their local neighborhoods. To evaluate and apply our framework metrics we developed and open-sourced a Python-based prototype for Jupyter Notebook-like environments called CEV (https://lnkd.in/eKsem_4s). Using Rust for computing the metrics, anywidget (https://anywidget.dev) for the widget architecture, and Jupyter Scatter (https://lnkd.in/e2ncaxVb) for rendering, CEV scales to datasets with millions of points. See https://lnkd.in/eCH6uFZi for examples. This fantastic work was led by the wonderful Trevor Manz from Nils Gehlenborg's lab and started as Ozette's first graduate research internship. With contributions from our Chief Technology Officer Greg Finak and Chief Data Science Research Officer Evan Greene, this was a fruitful long-term collaboration. At Ozette we're trying to push the boundary in single-cell analysis, not just by developing cutting edge machine learning methods but also by expanding the possibilities for efficient data exploration and discovery of actionable insights. This is just the first of several research projects on intelligent and scalable visual data exploration for single-cell data that we're working on.
-
🔬 It was great to host some of our our remote engineers in Seattle last week. A couple of jam packed days fueled by collaboration, innovation, a visit to the #Ozette Lab, and most importantly, fun! Proud of what we’re accomplishing together and grateful for the opportunity to connect in-person. Cheers to teamwork! 🍻 🎉 #Immunology #AIforgood #AI #SoftwareEngineering #Teamwork #Remotework
-
-
That's a wrap! Thanks to all who joined us for Ozette's webinar and to Cherie Green and Greg Finak for a great presentation! Navigating the complex R&D lifecycle is demanding. With Ozette, we can help bring clarity to your cytometry data so you can move forward quickly and with confidence. Curious to learn more? Connect with us to explore possibilities together. #SingleCellAnalysis #Immunology #ImmuneProfiling #Cytometry #DataAnalysis #CellTherapy #AutoImmuneDisease #InfectiousDisease
-