A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. / Nowak, Jacqueline; Eng, Ryan Christopher; Matz, Timon; Waack, Matti; Persson, Staffan; Sampathkumar, Arun; Nikoloski, Zoran.

In: Nature Communications, Vol. 12, No. 1, 458, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nowak, J, Eng, RC, Matz, T, Waack, M, Persson, S, Sampathkumar, A & Nikoloski, Z 2021, 'A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells', Nature Communications, vol. 12, no. 1, 458. https://doi.org/10.1038/s41467-020-20730-y

APA

Nowak, J., Eng, R. C., Matz, T., Waack, M., Persson, S., Sampathkumar, A., & Nikoloski, Z. (2021). A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. Nature Communications, 12(1), [458]. https://doi.org/10.1038/s41467-020-20730-y

Vancouver

Nowak J, Eng RC, Matz T, Waack M, Persson S, Sampathkumar A et al. A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. Nature Communications. 2021;12(1). 458. https://doi.org/10.1038/s41467-020-20730-y

Author

Nowak, Jacqueline ; Eng, Ryan Christopher ; Matz, Timon ; Waack, Matti ; Persson, Staffan ; Sampathkumar, Arun ; Nikoloski, Zoran. / A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. In: Nature Communications. 2021 ; Vol. 12, No. 1.

Bibtex

@article{619c20a43dd646f980c0f1e2da8331d2,
title = "A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells",
abstract = "Cell shape is crucial for the function and development of organisms. Yet, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, we introduce a visibility graph representation of shapes that facilitates network-driven characterization and analyses across shapes encountered in different domains. Using the example of complex shape of leaf pavement cells, we show that our framework accurately quantifies cell protrusions and invaginations and provides additional functionality in comparison to the contending approaches. We further show that structural properties of the visibility graphs can be used to quantify pavement cell shape complexity and allow for classification of plants into their respective phylogenetic clades. Therefore, the visibility graphs provide a robust and unique framework to accurately quantify and classify the shape of different objects.",
author = "Jacqueline Nowak and Eng, {Ryan Christopher} and Timon Matz and Matti Waack and Staffan Persson and Arun Sampathkumar and Zoran Nikoloski",
year = "2021",
doi = "10.1038/s41467-020-20730-y",
language = "English",
volume = "12",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells

AU - Nowak, Jacqueline

AU - Eng, Ryan Christopher

AU - Matz, Timon

AU - Waack, Matti

AU - Persson, Staffan

AU - Sampathkumar, Arun

AU - Nikoloski, Zoran

PY - 2021

Y1 - 2021

N2 - Cell shape is crucial for the function and development of organisms. Yet, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, we introduce a visibility graph representation of shapes that facilitates network-driven characterization and analyses across shapes encountered in different domains. Using the example of complex shape of leaf pavement cells, we show that our framework accurately quantifies cell protrusions and invaginations and provides additional functionality in comparison to the contending approaches. We further show that structural properties of the visibility graphs can be used to quantify pavement cell shape complexity and allow for classification of plants into their respective phylogenetic clades. Therefore, the visibility graphs provide a robust and unique framework to accurately quantify and classify the shape of different objects.

AB - Cell shape is crucial for the function and development of organisms. Yet, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, we introduce a visibility graph representation of shapes that facilitates network-driven characterization and analyses across shapes encountered in different domains. Using the example of complex shape of leaf pavement cells, we show that our framework accurately quantifies cell protrusions and invaginations and provides additional functionality in comparison to the contending approaches. We further show that structural properties of the visibility graphs can be used to quantify pavement cell shape complexity and allow for classification of plants into their respective phylogenetic clades. Therefore, the visibility graphs provide a robust and unique framework to accurately quantify and classify the shape of different objects.

U2 - 10.1038/s41467-020-20730-y

DO - 10.1038/s41467-020-20730-y

M3 - Journal article

C2 - 33469016

AN - SCOPUS:85099606995

VL - 12

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 458

ER -

ID: 257284817