The startup operates a platform that utilizes machine learning algorithms and interactive visualizations to analyze complex genomic data. This technology enables researchers to efficiently interpret biological processes, facilitating advancements in drug discovery and personalized medicine.
Funding
$380K 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.
Founders
Product
Problem
Expansion microscopy (ExM) allows for high-resolution imaging of cells and tissues, but manual sample processing is labor-intensive and prone to variability. Deformations introduced during expansion can compromise the accuracy and reliability of ExM, hindering quantitative analysis and clinical applications.
Solution
Visualise.bio offers solutions to standardize and automate expansion microscopy (ExM) workflows, ensuring reliable and reproducible high-resolution 3D imaging. The GelCast robot automates all steps of the ExM workflow, processing samples in a well-plate format to increase throughput and consistency. GelMap provides intrinsic calibration and deformation mapping by introducing a fluorescent grid into pre-expanded hydrogels, enabling accurate determination of local expansion factors and correction of deformations. These tools enhance the accessibility and reliability of ExM, facilitating detailed and reproducible imaging for various applications.
Target Audience
The primary target audience includes researchers and clinical labs utilizing expansion microscopy for high-resolution 3D imaging of cells and tissues.
Features
- GelCast: A sample processing robot that automates all steps of the ExM workflow in a well-plate format.
- GelMap: A solution for intrinsic calibration and deformation mapping using a fluorescent grid in pre-expanded hydrogels.
- Provides accurate determination of local expansion factors.
- Corrects for deformations to ensure high-quality, reliable imaging.
- Enables precise and reproducible ExM workflows.