A Caltech Library Service

Viral plaque analysis on a wide field-of-view, time-lapse, on-chip imaging platform

Han, Chao and Yang, Changhuei (2014) Viral plaque analysis on a wide field-of-view, time-lapse, on-chip imaging platform. Analyst, 139 (15). pp. 3727-3734. ISSN 0003-2654. PMCID PMC4077935.

PDF - Published Version
See Usage Policy.

[img] Video (AVI) - Supplemental Material
See Usage Policy.

[img] Video (AVI) - Supplemental Material
See Usage Policy.


Use this Persistent URL to link to this item:


The observation of viral plaques is the standard method for determining the viral titer and understanding the behaviors of viruses. Here, we report the application of a wide field-of-view (FOV), time-lapse, on-chip imaging platform, termed the ePetri, for plaque analysis of murine norovirus 1 (MNV-1). The ePetri offers the ability to dynamically track plaques at the individual cell death event level over a wide FOV of 6 mm × 4 mm. As demonstration, we captured high-resolution time-lapse images of MNV-1-infected cells at 30 min intervals. We implemented a customized image-processing program containing a density-based clustering algorithm to analyze the spatial-temporal distribution of cell death events to identify plaques at their earliest stages. By using the results in a viral titer count format, we showed that our approach gives results that are comparable to conventional plaque assays. We further showed that the extra information collected by the ePetri can be used to monitor the dynamics of plaque formation and growth. Finally, we performed a demonstration experiment to show the relevance of such an experimental format for viral inhibitor study. We believe the ePetri is a simple and compact solution for the automation of viral plaque assays, plaque behavior analysis, and antiviral drug discovery and study.

Item Type:Article
Related URLs:
URLURL TypeDescription Information Information CentralArticle
Yang, Changhuei0000-0001-8791-0354
Additional Information:© 2014 The Royal Society of Chemistry. Received 16 Dec 2013, Accepted 04 Feb 2014, First published online 04 Feb 2014. We would like to acknowledge Dr Herbert W. Virgin (Washington University in St. Louis) for generously providing MNV-1. We are grateful for the insightful discussions and suggestions from Dr Fernando Rodriguez (CReSA Research Centre for Animal Health, Cerdanyola del Vallès, Spain). We thank Mr. Xiaoze Ou, Dr Phil Willems and Mr Daniel Tran for helping with the software and hardware setup of the ePetri device. This project is funded by National Institute of Health under Grant no. 1R01AI096226-01.
Funding AgencyGrant Number
Issue or Number:15
PubMed Central ID:PMC4077935
Record Number:CaltechAUTHORS:20140321-141005322
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44445
Deposited By: Tony Diaz
Deposited On:21 Mar 2014 21:44
Last Modified:09 Mar 2020 13:19

Repository Staff Only: item control page