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ConductScience
Innovative Tools and Services for Scientific Research

ConductScience
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What is ConductScience?

ConductScience offers a wide array of tools, equipment, and specialized services tailored for the scientific research community, with a significant focus on neuroscience and behavioral studies. Their portfolio includes classic and automated mazes, various lab hardware such as imaging systems and surgical tools, and advanced software solutions designed to facilitate complex research protocols across multiple species, including rodents, zebrafish, and drosophila.

The platform integrates sophisticated technologies, notably featuring machine learning applications like ConductVision for automated animal behavior tracking and analysis. ConductScience also provides specialized scientific services encompassing AI, machine learning, language processing, computational bioinformatics, and comprehensive data management. These offerings aim to enhance research efficiency, ensure data quality, and support scientists in achieving reliable and publishable results through innovative technology and expert assistance.

Features

  • Machine Learning Behavior Tracking: Utilizes advanced machine learning for automated animal behavior tracking and analysis (e.g., ConductVision).
  • AI & Language Processing Services: Offers computational bioinformatics, language model support, and data analysis using AI/ML.
  • Comprehensive Lab Solutions: Provides a wide range of lab hardware, including mazes, surgical tools, and monitoring devices.
  • Multi-Species Support: Tools and software designed for various species including rodents, zebrafish, drosophila, and more.
  • Virtual Reality Research Platform: Offers VR environments (Simian Labs) for cognitive research with automated tracking.
  • Data Management & Analysis: Provides services for data quality assurance, management, and imaging analytics.

Use Cases

  • Automating animal behavior analysis in neuroscience research.
  • Conducting cognitive studies using immersive virtual reality environments.
  • Analyzing complex biological data through computational bioinformatics.
  • Tracking and analyzing movement patterns in various species (rodents, insects, fish).
  • Streamlining research workflows with integrated hardware and software solutions.
  • Leveraging language models for scientific publication support and knowledge discovery.

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