Accuracy in Quantitative 3D Image Analysis

George W Bassel

doi:10.1105/tpc.114.135061

Accuracy in Quantitative 3D Image Analysis

George W Bassel

Biosciences

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Quantitative 3D imaging is becoming an increasingly popular and powerful approach to investigate plant growth and development. With the increased use of 3D image analysis, standards to ensure the accuracy and reproducibility of these data are required. This commentary highlights how image acquisition and postprocessing can introduce artifacts into 3D image data and proposes steps to increase both the accuracy and reproducibility of these analyses. It is intended to aid researchers entering the field of 3D image processing of plant cells and tissues and to help general readers in understanding and evaluating such data.

Original language	English
Pages (from-to)	950-3
Number of pages	4
Journal	The Plant Cell
Volume	27
Issue number	4
DOIs	https://doi.org/10.1105/tpc.114.135061
Publication status	Published - Apr 2015

Bibliographical note

Access to Document

10.1105/tpc.114.135061

Cell-type-specific environmental signal integration networks controlling a binary developmental switch during the life cycle of plants
Bassel, G.
Biotechnology & Biological Sciences Research Council
28/04/14 → 27/04/17
Project: Research Councils

Cite this

@article{225be49bc2a2428ba8f2e221bbdbbdc1,

title = "Accuracy in Quantitative 3D Image Analysis",

abstract = "Quantitative 3D imaging is becoming an increasingly popular and powerful approach to investigate plant growth and development. With the increased use of 3D image analysis, standards to ensure the accuracy and reproducibility of these data are required. This commentary highlights how image acquisition and postprocessing can introduce artifacts into 3D image data and proposes steps to increase both the accuracy and reproducibility of these analyses. It is intended to aid researchers entering the field of 3D image processing of plant cells and tissues and to help general readers in understanding and evaluating such data.",

author = "Bassel, {George W}",

year = "2015",

month = apr,

doi = "10.1105/tpc.114.135061",

language = "English",

volume = "27",

pages = "950--3",

journal = "The Plant Cell",

issn = "1040-4651",

publisher = "American Society of Plant Biologists",

number = "4",

}

TY - JOUR

T1 - Accuracy in Quantitative 3D Image Analysis

AU - Bassel, George W

PY - 2015/4

Y1 - 2015/4

N2 - Quantitative 3D imaging is becoming an increasingly popular and powerful approach to investigate plant growth and development. With the increased use of 3D image analysis, standards to ensure the accuracy and reproducibility of these data are required. This commentary highlights how image acquisition and postprocessing can introduce artifacts into 3D image data and proposes steps to increase both the accuracy and reproducibility of these analyses. It is intended to aid researchers entering the field of 3D image processing of plant cells and tissues and to help general readers in understanding and evaluating such data.

AB - Quantitative 3D imaging is becoming an increasingly popular and powerful approach to investigate plant growth and development. With the increased use of 3D image analysis, standards to ensure the accuracy and reproducibility of these data are required. This commentary highlights how image acquisition and postprocessing can introduce artifacts into 3D image data and proposes steps to increase both the accuracy and reproducibility of these analyses. It is intended to aid researchers entering the field of 3D image processing of plant cells and tissues and to help general readers in understanding and evaluating such data.

U2 - 10.1105/tpc.114.135061

DO - 10.1105/tpc.114.135061

M3 - Article

C2 - 25804539

SN - 1040-4651

VL - 27

SP - 950

EP - 953

JO - The Plant Cell

JF - The Plant Cell

IS - 4

ER -

Accuracy in Quantitative 3D Image Analysis

Abstract

Bibliographical note

Access to Document

Fingerprint

Projects

Cell-type-specific environmental signal integration networks controlling a binary developmental switch during the life cycle of plants

Cite this