Rapid, Portable, And Cost-Effective Yeast Cell Viability And Concentration Analysis Using Lensfree On-Chip Microscopy And Machine Learning

UCLA researchers led by Prof. Aydogan Ozcan have developed a novel portable lab-on-chip lens free microscope system to monitor yeast cell viability and concentration. Furthermore, the device utilizes machine learning algorithms to process images, elimi…

UCLA researchers led by Prof. Aydogan Ozcan have developed a novel portable lab-on-chip lens-free microscope system to monitor yeast cell viability and concentration. Furthermore, the device utilizes machine learning algorithms to process images, eliminating user subjectivity, and reducing acquisition and analysis time. These dual developments have allowed for the development of the Automated Yeast Analysis Platform technology, which yields data that agrees well with current gold-standard technologies.

Abstract

UCLA researchers in the Department of Electrical Engineering have developed a new portable device to rapidly measure yeast cell viability and concentration using a lab-on-chip design.

Website

https://techtransfer.universityofcalifornia.edu/NCD/27515.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_27515&utm_campaign=TechWebsites

Advantages

  • Small form factor/portable design
  • Rapid testing if yeast cell viability and concentration
  • Low-cost instrument compared to gold standard technologies (i.e. hemocytometer or flow cytometry)

Contact Information

Name: Alborz Feizi

Name: Alon Greenbaum

Name: Aydogan Ozcan