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R&D Data Cloud

AWS Executive Conversations: Evolving R&D

AWS Executive Conversations highlight disruptive technologies across industries with a focus on ingenuity in healthcare and life sciences. TetraScience President and CTO, Spin Wang, is the latest to be featured.

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R&D Data Cloud

New Matter: Inside the Minds of SLAS Scientists Podcast

Listen to the New Matter podcast episode, "Helping Scientists Do More," with SLAS's Scientific Director, Marshall Brennan, Ph.D., and Tetra's Chief Scientific Officer, Mike Tarselli, Ph.D. where they discuss the challenge of "Big Data" in life science R&D.

TetraScience
News

TetraScience and Biosero Pair Autonomous Robotic Workcells with R&D Data Cloud

Biosero’s Green Button Go Automation Scheduling Software joins the Tetra Integration Network.

TetraScience
R&D Data Cloud

Protein Purification with Cytiva UNICORN: Enhanced Analytics through Harmonization and Integration

For this post, we'll consider the nearly - ubiquitous Cytiva AKTA series of instruments, an adaptive protein purification platform.

Cheng Han
Lab Monitoring

Simplified Remote Monitoring of CO₂ Incubators via Direct Integration

Remote monitoring of CO2 incubators via direct integrations simplifies the process. This results in lesser installation times and lower upfront costs in the lab, and eliminates the need to remove independent probes for sterilization.

Salvatore Savo
Lab Monitoring

Remote Monitoring of VWR CO₂ Incubators via Direct Integration

Remote monitoring of VWR CO2 incubators wia direct integration results in lesser installation times, lower upfront costs in the lab and eleiminates the need to remove independent probes for sterilization.

Salvatore Savo
R&D Data Cloud

99 Problems, but an SDMS Ain't One

Data volumes are exploding. Workflows continue to get more compley Legacy systems and processes can't keep up. All these factors are compounding into one big cluster...

Mike Tarselli, PH.D.
Lab Monitoring

Understanding Why Freezer Temperatures May Not Be Uniform

Discrepancies in temperature reflected between the freezers and monitoring systems do not equate failure in either system. This blog highlights key takeaways for monitoring freezer temperature.

Erika Tsutsumi
News

METTLER TOLEDO and TetraScience Collaborate to Power the Digital Lab Movement

METTLER TOLEDO and TetraScience announce a new collaboration to knock down life sciences R&D data silos by providing complete and unified R&D data in the cloud.

TetraScience
R&D Data Cloud

"Data Plumbing" for the Digital Lab

Just like the plumbing in a huge building, data plumbing in the digital lab can be messy and dirty. It's simple to start, but quickly becomes complicated.

Spin Wang
Lab Monitoring

Incident Reporting for GxP Compliance

The TetraScience Lab Monitoring application now provides comprehensive incident reporting for monitoring and tracking of all potential deviations across equipment in Life Sciences labs.

Salvatore Savo
R&D Data Cloud

Cloud-based Data Management with Lab Automation: HighRes Biosolutions Cellario + TetraScience

Integration between HighRes Biosolutions' Cellario lab automation software and the TetraScience Platform provides cloud-based data management and unlocks data science

Kai Wang
Expert's Corner

The Science Behind Trash Data

John F. Conway, Chief Visioneer Officer at 20/15 Visioneers, dives into the subject of Trash Data and its impact on R&D organizations. With thirty years of experience, Mr. Conway believes the problem of Trash Data can finally be solved.

John F. Conway
Lab Monitoring

Direct Data Acquisition and Sensor Integration for ThermoFisher Heracell™ VIOS CO₂ Incubators

Direct data acquisition and integration for monitoring CO2 incubators results in lesser installation times, lower upfront costs in the lab, and eliminates the need to remove independent probes for sterilization.

Erika Tsutsumi
R&D Data Cloud

Powering Bioprocessing 4.0 for Therapeutic Development

AGU's Sm@rtLine Data Cockpit and TetraScience partner to unify life sciences R&D data in the cloud and automate lab workflows to power Bioprocessing 4.0.

Spin Wang
Lab Monitoring

Enabling Compliance in GxP Labs

TetraScience's Lab Monitoring application is now 21 CFR part 11 ready. This means we can enable your lab to be GxP compliant with features like audit trail, electronic signature, multi-factor authentication, and more.

Salvatore Savo
News

AGU and TetraScience partner to provide R&D, Production labs with best-in-class BIO-API data solution

AGU Planungsgesellschaft mbH and TetraScience, Inc. announce new partnership to integrate their flagship products to automatically collect and unify R&D data in life sciences.

TetraScience
Events

AWS Healthcare & Life Sciences Web Day | Virtual Industry Event

Watch our presentation on-demand from the AWS Healthcare & Life Sciences Web Day Virtual Industry Event.

TetraScience
Lab Monitoring

Remote Lab Scheduling is No Longer Optional, it is a Requirement

TetraScience Scheduling is a purpose-built solution that allows laboratories to schedule not only instrumentation and equipment, but also the people who use those devices, and the tasks that need to be run on them.

Salvatore Savo
R&D Data Cloud

Data Automation for High-Throughput Screening with Dotmatics, Tecan, and PerkinElmer Envision

Despite robotic automation, experiment data sets are still isolated from one another, requiring manual data acquisition and handling. TetraScience’s Data Integration Platform brings automation to the data.

Spin Wang
R&D Data Cloud

Data Science Use Cases for the Digital Lab: Novel Analyses with Waters Empower CDS Data

Once your Empower data is in the cloud - harmonized, structured, and connected to your data science tools - what meaningful analyses can your data scientists perform? We've collected several obvious and non-obvious data science use cases from our network.

Spin Wang
R&D Data Cloud

Applying Data Automation and Standards to Cell Counter Files

Use case illustrating how experimental data from a cell counter is automatically collected, centralized in a data lake, and converted into an ADF-compatible format, saving time, reducing error, and making the data accessible and actionable.

Evan Anderson
Events

LRIG-New England: Lunchtime Virtual Rapid Fire Event - May 26, 2020

TetraScience CEO and Co-Founder, Spin Wang, presented during the May 26 LRIG-New England lunchtime virtual Rapid Fire event.

TetraScience
R&D Data Cloud

The Digital Lab Needs an Intermediate Data Schema (IDS): a First Principle Analysis

We believe one of the key building blocks of a Digital Lab is the flow of Data. Without the flow of information, data is siloed, fragmented, and nearly impossible to drive action. To enable scalable data flow, Digital Lab needs an Intermediate Data Schema...

Spin Wang
Resource Center

Round-up of Semantic Web thought leadership articles

Here is a collection of thought leadership articles about semantic web that we are tracking. This is a question we are asked often, so we thought we'd share.

Spin Wang

TetraScience ADF Converter -- Delivering on the Promise of Allotrope and a Startup’s Journey

Our goal is to enable other organizations to overcome the barrier of initial adoption in order to evaluate and explore ADF in real production settings against your use cases. By doing this, such a data format can be truly battle-tested and demonstrate its vitality.

Spin Wang
R&D Data Cloud

Allotrope Leaf Node Model — a Balance between Practical Solution and Semantics Compatibility

Specialization and compatibility are possible with the Leaf Node - scientists, engineers, and data scientists can rapidly iterate on the data model to create and query standardized data sets so ontology experts can focus on semantics.

Spin Wang
Lab Monitoring

Choose the right alert set points for your freezers, refrigerators, and incubators

Choose the right alert set points for your freezers and incubators Use this guide to ensure you don't miss anything important while avoiding alert fatigue.

Erika Tsutsumi
R&D Data Cloud

Allotrope 101

The Allotrope Foundation, an international consortium of pharma, biotech, and other research-intensive industries, has developed advanced data architecture to transform the acquisition, exchange, and management of laboratory data throughout its lifecycle.

Spin Wang

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