Details

Paid

December 21, 2023
Features
Experiment Metadata Capture
Reusable Scientific Context
Best For
Bioprocess Engineer
Research Scientist
Laboratory Manager
Use Cases
Miniaturized Purification
Design of Experiments

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What is Synthace?

Synthace is a digital experiment platform designed for life science R&D teams. It allows scientists to design, execute, and analyze experiments in one place, making it easier to run sophisticated, multifactor experiments on existing lab setups. The platform captures experiment metadata, providing an enriched dataset alongside analytical data, which improves the quality of the experiments and reduces errors. It is a cloud-based solution that enables users to re-use existing scientific context to create new experiments and visualize the relationships between workflows, simulations, executions, data, and metadata. With Synthace, scientists can streamline their experimental processes and gather structured datasets without the need for coding.

Synthace Features

  • Adaptive Design of Experiments

    Enables scientists to run sophisticated, multifactor experiments in one place.

  • Experiment Metadata Capture

    Captures experiment metadata, providing an enriched dataset alongside analytical data, reducing errors.

  • Reusable Scientific Context

    Allows users to re-use existing scientific context to create new experiments and visualize relationships between workflows, simulations, executions, data, and metadata.

  • Improved Experiment Efficiency

    Helps users run more sophisticated, efficient, and impactful experiments on existing lab setups.

Synthace Use Cases

  • Bioprocess Data Management

    Synthace can be used in both upstream and downstream applications to help with bioprocess data and miniaturized purification. It ensures every sample is tracked through every step, securely structuring all data and metadata in the cloud.

  • Miniaturized Purification

    Synthace simplifies purification protocols, allowing users to easily update them, link data back to bioprocessing samples, view pseudo-chromatograms, and perform cherry picking, all within a single platform.

  • Design of Experiments

    Synthace serves as a Design of Experiments (DOE) tool, enabling scientists to conduct sophisticated, multifactor experiments in a centralized location. It empowers users to run more efficient and impactful experiments using their existing lab set-up.

Related Tasks

  • Experimental Design

    Create and design sophisticated experiments with multiple factors and variables in a user-friendly interface.

  • Experiment Execution

    Execute and run experiments seamlessly within the platform, utilizing existing lab setups.

  • Data Capture and Metadata Management

    Capture experiment metadata and securely store data, ensuring accurate and reliable datasets.

  • Workflow Visualization

    Visualize the relationships and connections between workflows, simulations, executions, and data, aiding in experiment tracking and analysis.

  • Optimization of Experiment Efficiency

    Improve the efficiency and impact of experiments conducted on existing lab setups.

  • Reusability of Scientific Context

    Reuse existing scientific context and previous experiment information to create new experiments and workflows.

  • Miniaturized Purification Management

    Manage purification protocols, link data to bioprocessing samples, and perform efficient cherry picking within a single platform.

  • Bioprocess Data Management

    Organize and manage bioprocess data, enabling secure tracking of every sample through each step and ensuring FAIR (Findable, Accessible, Interoperable, Reusable) data principles are followed.

  • Biochemist

    Uses Synthace to design and conduct sophisticated experiments in the field of biochemistry, improving the efficiency and accuracy of their research.

  • Bioprocess Engineer

    Utilizes Synthace to manage and optimize bioprocesses, gathering and analyzing data to enhance productivity and streamline workflows.

  • Research Scientist

    Relies on Synthace for experimental design and data analysis, enabling them to investigate complex scientific questions and generate valuable insights.

  • Laboratory Manager

    Utilizes Synthace to oversee experiments, track samples, and ensure consistent data management, enhancing the overall efficiency of the lab.

  • Pharmaceutical Scientist

    Uses Synthace for bioprocessing and data management, facilitating the development and optimization of pharmaceutical products.

  • Agricultural Scientist

    Relies on Synthace to design and execute experiments related to agricultural research, improving crop productivity and sustainability.

  • Geneticist

    Utilizes Synthace for experimental design and data analysis to study genetic variations and understand the underlying mechanisms of inheritance.

  • Biotechnology Researcher

    Relies on Synthace to streamline experimental processes, manage data, and optimize biotechnological procedures for various applications.

Synthace FAQs

What is Synthace?

Synthace is a digital experiment platform designed for life science R&D teams.

What are the key features of Synthace?

Key features of Synthace include adaptive design of experiments, experiment metadata capture, reusability of existing scientific context, and improved experiment efficiency.

How does Synthace work?

Synthace is a cloud-based platform that allows scientists to design, execute, and analyze experiments in one place, utilizing existing lab setups.

What are the use cases of Synthace?

Synthace can be used for bioprocess data management, miniaturized purification, and design of experiments.

What is Bioprocess Data Management?

Bioprocess Data Management refers to using Synthace to securely track and manage data and metadata for bioprocessing samples throughout the entire process.

What is Miniaturized Purification?

Miniaturized Purification is a use case of Synthace where users can update purification protocols, link data to bioprocessing samples, and perform cherry picking, all within a single platform.

What is Design of Experiments?

Design of Experiments (DOE) refers to the functionality of Synthace that allows scientists to run sophisticated, multifactor experiments in one place.

How does Synthace help reduce errors?

Synthace captures experiment metadata alongside analytical data, improving the quality of experiments and reducing errors.

Synthace Alternatives

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