April 11, 2018  |  Announcements, Conferences, Flow Cytometry

Announcing Cytobank’s Collaboration with Cytek Biosciences

We’rCytekLogoe excited to announce a new collaboration with Cytek, makers of the innovative CytekTM Aurora Flow Cytometer. Cytek’s Aurora and Cytobank’s next-generation analytics platform have united in their goal to make high-dimensional data and its subsequent machine learning analysis more accessible to more scientists.

  • Aurora’s unique optical design combined with spectral unmixing delivers quality, high-dimensional data where rare and dim populations can be easily resolved, regardless of sample complexity.
  • Cytobank’s algorithms simplify visualization and analysis of high-dimensional unmixed data and allow you to quickly share discrete insights from these data.

Here are two specific examples of how you can apply our combined solutions to enable faster, more highly-resolved discoveries: More »

March 13, 2018  |  Announcements, API, Education

Introducing Cytobank BridgeR: An easy-to-use R package for Biologists

imagesThe Cytobank API opens up our platform to workflows and creative use beyond native functionality to improve the efficiency and velocity of your research efforts. We are excited to enhance the usability of the Cytobank API with the release of BridgeR, an easy-to-use R package for biologists.

Experience working in R isn’t required.  Our step-by-step guide provides instructions on how to execute the API-leveraged workflows detailed in BridgeR. More »

January 17, 2018  |  Announcements

Free Webinar – Machine Learning and Systems Biology Unite to Decode Drug Resistance

viSNEJanWebinar-576pxDon’t miss our free Webinar Thursday, January 25th at 9:00 AM PDT.

Learn how a systems biology approach that utilizes machine learning tools facilitates drug resistance discovery. Special guest, Cancer Biology PhD candidate Reema Baskar, co-mentored by Drs. Sean Bendall and Sylvia Plevritis of Stanford University, will show you how they leveraged Cytobank along with other computational tools to identify mechanisms of drug resistance in cancer cells.

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Free Webinar – Bench to Bytes: Translating Bench Research to the Clinic with Machine Learning Tools

Join us Wednesday, November 29th for our next free webinar.

BloodCover-Kordasti-420pxLearn from experts how machine learning tools present a more expansive view of your data and facilitate prognostic discovery.

Special guests Dr. Shahram Kordasti of King’s College London and Dr. Richard Ellis of the NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London show you how they leveraged Cytobank to identify predictors of therapy response.  

In this webinar, they will present data and methods that led to their key discoveries in the clinic, as detailed in Blood Journal.

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October 23, 2017  |  Announcements, Conferences, DROP, viSNE

Biomedical Engineering Society Conference Review: Using viSNE on Single-cell Image Data for Improved Characterization of Immunotherapeutic Stem Cells

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Recently at the Biomedical Engineering Society MeetingRoss Marklein from the FDA’s Center for Biologics Evaluation and Research (CBER), presented a poster using viSNE in Cytobank on single-cell image data to characterize the function of mesenchymal stem cells (MSCs) used for cell therapy in autoimmune disease.
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September 18, 2017  |  Announcements, API, Education, Flow Cytometry, viSNE

Cytobank Webinar:
Create & Optimize Your Data Analysis Pipeline

In this field report, you’ll get a walkthrough of how a successful Mass Cytometry core facility applied Cytobank and data analysis best-practices to streamline and grow their operations.

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Cytobank’s machine-learning algorithms enable faster, more comprehensive analysis of complex life science datasets for single cell and bulk data resolution. Making the leap from manual analysis to Machine Learning-assisted analysis may seem daunting, but it doesn’t have to be.

We’ll learn from guest presenter Dr. Vinko Tosevski, head of the Mass Cytometry Core Facility at The University of Zurich how he leveraged Cytobank in his operation to build an efficient data analysis pipeline.

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