Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Plaque2.0-A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion.

PloS one - 1 Jan 2015

Yakimovich Artur, Andriasyan Vardan, Witte Robert, Wang I-Hsuan, Prasad Vibhu, Suomalainen Maarit, Greber Urs F

Abstract excerpt

Classical plaque assay measures the propagation of infectious agents across a monolayer of cells. It is dependent on cell lysis, and limited by user-specific settings and low throughput. Here, we developed Plaque2.0, a broadly applicable, fluorescence microscopy-based high-throughput method to mine patho-biological clonal cell features. Plaque2.0 is an open source framework to extract information from chemically...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenoviridae
Share to High-Throughput Screening Assays

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Picornaviridae Infections

Share to Rhinovirus

Share to Time-Lapse Imaging

Share to Vaccinia virus

Share to Viral Plaque Assay

Share to Viruses

Source

Open in PubMed Open full text

Identifiers

PMID: 26413745
DOI: 10.1371/journal.pone.0138760
PMCID: PMC4587671

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Plaque2.0-A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion.PMID 26413745Read ↗

Mapping the complete influenza A virus infection cycle through single vRNP imagingSemantic proximity Read ↗

Virus Infection Variability by Single-Cell ProfilingSemantic proximity Read ↗

ViroPanel: Hybrid Capture and Massively Parallel Sequencing for Simultaneous Detection and Profiling of Oncogenic Virus Infection and Tumor Genome.Semantic proximity Read ↗

Deep learning of virus infections reveals mechanics of lytic cellsSemantic proximity Read ↗

Analysis of IAV Replication and Co-infection Dynamics by a Versatile RNA Viral Genome Labeling MethodSemantic proximity Read ↗

Evaluating phage lytic activity: from plaque assays to single-cell technologiesSemantic proximity Read ↗

Label-Free In-Line Characterization of Immune Cell Culture using Quantitative Phase ImagingSemantic proximity Read ↗

Single-Particle Discrimination of Retroviruses from Extracellular Vesicles by Nanoscale Flow Cytometry.Semantic proximity Read ↗

Presence of complete murine viral genome sequences in patient-derived xenograftsSemantic proximity Read ↗

A flexible, image-based, high-throughput platform encompassing in-depth cell profiling to identify broad-spectrum coronavirus antivirals with limited off-target effectsSemantic proximity Read ↗

3-D Microwell Array System for Culturing Virus Infected Tumor CellsSemantic proximity Read ↗

Kaposi’s sarcoma–associated herpesvirus stably clusters its genomes across generations to maintain itself extrachromosomallySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.