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There’s always something new at Cytobank.
Here’s where you can find out about it.

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 and Dr. Richard Ellis of 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

Don’t Miss Our Next Webinar:
Create & Optimize Your Data Analysis Pipeline

Join us Wednesday, September 27th for our next free webinar. 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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August 16, 2017  |  Announcements, DROP, Release Notes

New Release: DROP Expands Machine Learning Analysis
to More Data Types

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The team at Cytobank is delighted to announce the release of version 6.0.

In addition to updates and improvements across the platform, we are most excited to announce that our new DROP functionality is now available on all Enterprise Cytobank sites.

DROP (Data to Results Optimization Portal) enables you to import any numeric data in the format of a spreadsheet / numeric matrix for analysis by automating its conversion into an FCS file within Cytobank.

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August 16, 2017  |  Announcements, DROP

Don’t Miss Our DROP Training Webinar Aug. 23

You are invited to join us Wednesday, August 23rd at 12:00 PM EDDropSimpleGoldT/9:00 AM PDT for a live webinar showcasing our new DROP functionality in Cytobank Enterprise.

Geoff-144px Join Cytobank’s Application Scientist Geoff Kraker for a live demo and training for the newest features that enable broader analysis of more data types than ever before. Brush up on all that Cytobank has to offer, ask your questions, and take back more tools and methods to help accelerate your discovery.

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June 8, 2017  |  Cytobank, DROP, Education

Maximize Your Insight with Machine Learning Algorithms
and NanoString® 3D Biology™ Technology

Courtesy: NanoString
Image courtesy: NanoString

Scientists across many therapeutic areas are striving to solve complex biological problems by measuring multiple analytes, thinking that together these data will power deeper discovery. However, analyzing these data independently is less effective and more time-consuming than analyzing them together. Cytobank’s new DROP feature allows scientists to apply machine learning algorithms to many data types, including these datasets, and to develop integrated insights quickly.

With bulk data, unsupervised machine learning algorithms on Cytobank can help you identify clinically relevant groups of samples by combining information from all of your markers at the same time. We’ll illustrate that here with Nanostring® 3D Biology technology, which simultaneously analyzes up to 800 SNVs, RNA, and proteins and phospho-proteins from the same sample. In this example, the assays used profile 104 SNV and small InDels, 192 RNA, and 28 total and phospho-proteins in 144 samples.

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