Evidence map›Paper›PMID 27342138›Full record

ArticleMicroscopy research and technique2018

Semiautomated confocal imaging of fungal pathogenesis on plants: Microscopic analysis of macroscopic specimens.

Katharine R Minker, Meredith L Biedrzycki, Abhishek Kolagunda, Stephen Rhein, Fabiano J Perina, Samuel S Jacobs, Michael Moore, Tiffany M Jamann, Qin Yang, Rebecca Nelson and 4 more

Abstract read
In one paragraph

Article in Microscopy research and technique, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Histopathological and Ultrastructural Observations ofJournal of fungi (Basel, Switzerland) · 2025
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Katharine R MinkerDepartment of Biological Sciences, University of Delaware, Newark, Delaware, 19716.
Meredith L BiedrzyckiDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.
Abhishek KolagundaDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.
Stephen RheinDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.
Fabiano J PerinaDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.
Samuel S JacobsDepartment of Bio-Imaging Center, Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, 19711.
Michael MooreDepartment of Bio-Imaging Center, Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, 19711.
Tiffany M JamannDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801.
Qin YangDepartment of Plant Pathology, North Carolina State University, Raleigh, North Carolina, 27695.
Rebecca NelsonSchool of Integrative Plant Science, Cornell University, Ithaca, New York, 14853.
Peter Balint-KurtiDepartment of Plant Pathology, North Carolina State University, Raleigh, North Carolina, 27695.
Chandra KambhamettuDepartment of Computer and Information Sciences, University of Delaware, Newark, Delaware, 19716.
Randall J WisserDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716.
Jeffrey L CaplanDepartment of Biological Sciences, University of Delaware, Newark, Delaware, 19716.
University of Delaware · USBiotechnology Institute · USNorth Carolina State University · USCornell University · USUniversity of Illinois Urbana-Champaign · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
Acquisition of a Zeiss LSM710 Confocal MicroscopeS10RR027273 · NCRR · UNIVERSITY OF DELAWARE · PI DUNCAN, MELINDA K · 2010 to 2010
$494k
Zeiss LSM710 Inverted Confocal MicroscopeS10OD016361 · OD · UNIVERSITY OF DELAWARE · PI CAPLAN, JEFFREY L · 2015 to 2015
$444k
NCRR NIH HHS S10 RR027273NIGMS NIH HHS P20 GM103446NIH HHS S10 OD016361
6 · The paper itself

Abstract

The study of phenotypic variation in plant pathogenesis provides fundamental information about the nature of disease resistance. Cellular mechanisms that alter pathogenesis can be elucidated with confocal microscopy; however, systematic phenotyping platforms-from sample processing to image analysis-to investigate this do not exist. We have developed a platform for 3D phenotyping of cellular features underlying variation in disease development by fluorescence-specific resolution of host and pathogen interactions across time (4D). A confocal microscopy phenotyping platform compatible with different maize-fungal pathosystems (fungi: Setosphaeria turcica, Cochliobolus heterostrophus, and Cercospora zeae-maydis) was developed. Protocols and techniques were standardized for sample fixation, optical clearing, species-specific combinatorial fluorescence staining, multisample imaging, and image processing for investigation at the macroscale. The sample preparation methods presented here overcome challenges to fluorescence imaging such as specimen thickness and topography as well as physiological characteristics of the samples such as tissue autofluorescence and presence of cuticle. The resulting imaging techniques provide interesting qualitative and quantitative information not possible with conventional light or electron 2D imaging. Microsc. Res. Tech., 81:141-152, 2018. © 2016 Wiley Periodicals, Inc.

Indexed as

AutomationFungiImage Processing, Computer-AssistedMicroscopy, ConfocalOptical ImagingPlant DiseasesSpecimen HandlingStaining and LabelingZea maysconfocal microscopydisease resistanceimage analysisplant-pathogen interactionstissue clearing

Identifiers

PMID27342138
PMCPMC5329141
OpenAlexW2461588764

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.