Olympus Scan R High Content screening station

ScanR


Modular High-Content Screening Station for Life Sciences

Fast, Automated Workflow for High-Content Screening


The scanR screening station combines the modularity and flexibility of a microscope-based setup with the automation, speed, and throughput demanded by high-content screening.

Fast, Automated Workflow for High-Content Screening

  • Fully automated image acquisition and data analysis of biological samples
  • Designed for multiwell plates, slides, and custom-built arrays
  • Powerful analysis module for biological functional assays
  • Ideal for assay development and high-content screening
  • Accommodates fixed and live cells

Powerful Data Visualization for Interactive Analysis


The scanR system excels in data analysis and evaluation—either offline or in parallel with the data acquisition. Using AI and deep-learning techniques, the system detects objects like cells or nuclei without user intervention. Powerful cytometry data analysis suits the specific demands of analyzing high numbers of cells.

Bidirectional links from all data points and time curves to cell galleries and image data ease understanding your samples from the single cell level up to populations of millions of cells, and every data point can be traced back to the original image.

The system makes it simple to set up reliable quantitative assays in minutes.

TruAI-Assisted Object Detection and Image Enhancement


Our TruAI™ technology’s groundbreaking analysis capabilities enable you to establish assays more easily. The powerful deep-learning technology reduces photobleaching and improves acquisition speed, measurement sensitivity, and accuracy, facilitating longer observations with reduced influence on cell viability.

TruAI segmentation networks enable robust segmentation and classification in complex samples, insensitive to artifacts, intensity fluctuations, or background signals. TruAI enhancement networks generate clear images from noisy ones or remove out of focus signals.

scanR High-Content Screening System with Deep Learning:


Monitoring Cell Cycle Dynamics During Stem Cell Differentiation