The Clinical Challenge

FLOWVIEW

complexity of analysis asudes clinical challenge

Complexity of analysis

  • multiple markers
  • multiple lasers
  • manual decision steps
  • experienced based job
  • human biases and errors
time consuming clinical challenge asudes

Large Datasets

  • manual analysis of homogeneous cell population
  • subjective but critical to correct findings
  • technological evolution FC devices
large datasets clinical challenge asudes

Large Datasets

  • manual analysis of homogeneous cell population
  • subjective but critical to correct findings
  • technological evolution FC devices

OUR CLINICAL CHALLENGE

Asudes is the answer.

Researchers of the Radboud University and the University Medical Centre Utrecht developed an algorithm that can analyze the large volumes of raw data produced by the MFC and represents the findings as a simplified 2D-image.

The algorithm filters out all the normal cells, leading to a non-crowded representation of the abnormal cells only. Consequently, interpretation requires less expertise, less time and is trained to detect early indications of e.g. relapse.