ArticleViruses2016
Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy.
Article in Viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Automated Counting of Chikungunya Virus-Formed Plaques.Methods in molecular biology (Clifton, N.J.) · 2027Article
- PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays.Scientific reports · 2025Article
- Development of an automated plaque-counting program for the quantification of the Chikungunya virus.Scientific reports · 2025Article
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- A fast open-source Fiji-macro to quantify virus infection and transfection on single-cell level by fluorescence microscopy.MethodsX · 2022Article
- OnePetri: Accelerating Common Bacteriophage Petri Dish Assays with Computer Vision.PHAGE (New Rochelle, N.Y.) · 2021Article
- Cholesterol sensing by CD81 is important for hepatitis C virus entry.The Journal of biological chemistry · 2020Article
- Synthesis, characterization and evaluation of antidengue activity of enantiomeric Schiff bases derived from S-substituted dithiocarbazate.Turkish journal of chemistry · 2020Article
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- Microfluidic System for Detection of Viral RNA in Blood Using a Barcode Fluorescence Reporter and a Photocleavable Capture Probe.Analytical chemistry · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The ability to accurately and reliably quantify viral infection is essential to basic and translational virology research. Here, we describe a simple and robust automated method for using fluorescence microscopy to estimate the proportion of virally infected cells in a monolayer. We provide details of the automated analysis workflow along with a freely available open-source ImageJ plugin, Infection Counter, for performing image quantification. Using hepatitis C virus (HCV) as an example, we have experimentally verified our method, demonstrating that it is equivalent, if not better, than the established focus-forming assay. Finally, we used Infection Counter to assess the anti-HCV activity of SMBz-CsA, a non-immunosuppressive cyclosporine analogue.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.