Lensfree on-chip microscopy achieves accurate measurement of yeast cell viability and concentration using machine learning
Journal
Optics InfoBase Conference Papers
Journal Volume
Part F43-CLEO_AT 2017
ISBN
9781943580279
Date Issued
2017-01-01
Author(s)
Feizi, Alborz
Zhang, Yibo
Greenbaum, Alon
Guziak, Alex
Luong, Michelle
Yan Lok Chan, Raymond
Berg, Brandon
Ozkan, Haydar
Luo, Wei
Wu, Yichen
Ozcan, Aydogan
Abstract
Automatic measurement of yeast viability and concentration is achieved by coupling a lensfree on-chip holographic microscope with a machine learning based classification algorithm that counts the number of live/dead cells stained with methylene blue.
Type
conference paper