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Visienco

Visienco provides automated solutions for 3D cell culture handling through its Orgadroid platform. This system automatically classifies and transfers organoids of various types, significantly boosting experimental throughput and reproducibility. The platform utilizes AI-driven phenotypic analysis for consistent, real-time organoid selection based on morphology.

Ebikon, SwitzerlandFounded 20243200+ followers
Updated 20 months ago

Funding

$11K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

VK
Funding rounds are not available yet.

Founders

Product

Problem

Organoid-based research relies heavily on manual processes for sorting and analyzing organoids, which is labor-intensive, time-consuming, and prone to inconsistencies. Traditional methods involving manual pipetting and microscope analysis limit throughput and introduce variability, hindering the efficiency and reproducibility of experiments.

Solution

Visienco offers an automated organoid sorting system that streamlines the selection and transfer of organoids. The system utilizes bright-field imaging and deep learning algorithms to classify organoids based on morphological features. It then gently transfers selected organoids, up to 5mm in size, from bulk samples into target labware, eliminating the need for manual intervention. This technology enhances the speed, consistency, and throughput of organoid-based workflows, accelerating discoveries in drug discovery, diagnostics, and personalized medicine. The system is designed to be compact, cost-effective, and compatible with flowhoods and sterilization processes, making it suitable for integration into various life science laboratories.

Target Audience

The primary target audience includes researchers and scientists in life science laboratories involved in organoid-based research, drug discovery, diagnostics, and personalized medicine.

Features

  • Automated classification of organoids using bright-field imaging and deep learning
  • Gentle transfer mechanism to maintain organoid integrity
  • Compatibility with large organoids (up to 5mm)
  • Integrates filters and biocompatible autoclavable parts to ensure a sterile environment
  • Software allows users to implement their own classification methods
  • Compact design for easy integration into existing lab environments
  • Compatible with flowhoods and standard sterilization processes
This profile is AI-generated and may contain inaccuracies.