Quantifying spatial position in a branched structure in immunostained mouse tissue sections

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

Standard

Quantifying spatial position in a branched structure in immunostained mouse tissue sections. / Heilmann, Silja; Semb, Tor Henrik; Nyeng, Pia.

In: STAR Protocols, Vol. 2, No. 4, 100806, 2021.

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

Harvard

Heilmann, S, Semb, TH & Nyeng, P 2021, 'Quantifying spatial position in a branched structure in immunostained mouse tissue sections', STAR Protocols, vol. 2, no. 4, 100806. https://doi.org/10.1016/j.xpro.2021.100806

APA

Heilmann, S., Semb, T. H., & Nyeng, P. (2021). Quantifying spatial position in a branched structure in immunostained mouse tissue sections. STAR Protocols, 2(4), [100806]. https://doi.org/10.1016/j.xpro.2021.100806

Vancouver

Heilmann S, Semb TH, Nyeng P. Quantifying spatial position in a branched structure in immunostained mouse tissue sections. STAR Protocols. 2021;2(4). 100806. https://doi.org/10.1016/j.xpro.2021.100806

Author

Heilmann, Silja ; Semb, Tor Henrik ; Nyeng, Pia. / Quantifying spatial position in a branched structure in immunostained mouse tissue sections. In: STAR Protocols. 2021 ; Vol. 2, No. 4.

Bibtex

@article{b959554d2da749ecbf0adc9cca79a445,
title = "Quantifying spatial position in a branched structure in immunostained mouse tissue sections",
abstract = "We have developed a protocol to quantify the position of a cell in a branched structure based on two-dimensional microscopy images of tissue sections. Biological branched structures include organs such as the lungs, kidneys, and pancreas. In these organs, cell fate has been correlated with position, based on a qualitative estimate. However, a quantitative means of evaluating the cell position has been lacking. With this protocol, the correlation between cell fate and cell position was measured in mouse embryonic pancreas. For complete details on the use and execution of this protocol, please refer to Nyeng et al. (2019).",
author = "Silja Heilmann and Semb, {Tor Henrik} and Pia Nyeng",
note = "{\textcopyright} 2021 The Author(s).",
year = "2021",
doi = "10.1016/j.xpro.2021.100806",
language = "English",
volume = "2",
journal = "STAR Protocols",
issn = "2666-1667",
publisher = "Cell Press",
number = "4",

}

RIS

TY - JOUR

T1 - Quantifying spatial position in a branched structure in immunostained mouse tissue sections

AU - Heilmann, Silja

AU - Semb, Tor Henrik

AU - Nyeng, Pia

N1 - © 2021 The Author(s).

PY - 2021

Y1 - 2021

N2 - We have developed a protocol to quantify the position of a cell in a branched structure based on two-dimensional microscopy images of tissue sections. Biological branched structures include organs such as the lungs, kidneys, and pancreas. In these organs, cell fate has been correlated with position, based on a qualitative estimate. However, a quantitative means of evaluating the cell position has been lacking. With this protocol, the correlation between cell fate and cell position was measured in mouse embryonic pancreas. For complete details on the use and execution of this protocol, please refer to Nyeng et al. (2019).

AB - We have developed a protocol to quantify the position of a cell in a branched structure based on two-dimensional microscopy images of tissue sections. Biological branched structures include organs such as the lungs, kidneys, and pancreas. In these organs, cell fate has been correlated with position, based on a qualitative estimate. However, a quantitative means of evaluating the cell position has been lacking. With this protocol, the correlation between cell fate and cell position was measured in mouse embryonic pancreas. For complete details on the use and execution of this protocol, please refer to Nyeng et al. (2019).

U2 - 10.1016/j.xpro.2021.100806

DO - 10.1016/j.xpro.2021.100806

M3 - Journal article

C2 - 34632415

VL - 2

JO - STAR Protocols

JF - STAR Protocols

SN - 2666-1667

IS - 4

M1 - 100806

ER -

ID: 284836641