Please use this identifier to cite or link to this item: https://doi.org/10.2144/000113202
Title: Arraycount, an algorithm for automatic cell counting in microwell arrays
Authors: Kachouie, N.N.
Kang, L. 
Khademhosseini, A.
Keywords: Cell counting
High-throughput
Image analysis
Microarray
Microwell
Issue Date: Sep-2009
Citation: Kachouie, N.N., Kang, L., Khademhosseini, A. (2009-09). Arraycount, an algorithm for automatic cell counting in microwell arrays. BioTechniques 47 (3 SUPPL.) : x-xvi. ScholarBank@NUS Repository. https://doi.org/10.2144/000113202
Abstract: Microscale technologies have emerged as a powerful tool for studying and manipulating biological systems and miniaturizing experiments. However, the lack of software complementing these techniques has made it difficult to apply them for many high-throughput experiments. This work establishes Arraycount, an approach to automatically count cells in microwell arrays. The procedure consists of fluorescent microscope imaging of cells that are seeded in microwells of a microarray system and then analyzing images via computer to recognize the array and count cells inside each microwell. To start counting, green and red fluorescent images (representing live and dead cells, respectively) are extracted from the original image and processed separately. A template-matching algorithm is proposed in which pre-defined well and cell templates are matched against the red and green images to locate microwells and cells. Subsequently, local maxima in the correlation maps are determined and local maxima maps are thresholded. At the end, the software records the cell counts for each detected microwell on the original image in high-throughput. The automated counting was shown to be accurate compared with manual counting, with a difference of ∼1-2 cells per microwell: based on cell concentration, the absolute difference between manual and automatic counting measurements was 2.5-13%.
Source Title: BioTechniques
URI: http://scholarbank.nus.edu.sg/handle/10635/105681
ISSN: 07366205
DOI: 10.2144/000113202
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

14
checked on Oct 16, 2018

WEB OF SCIENCETM
Citations

12
checked on Oct 16, 2018

Page view(s)

30
checked on Sep 7, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.