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Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images. / Surkova, Svetlana; Myasnikova, Ekaterina; Janssens, Hilde; Kozlov, Konstantin N.; Samsonova, Anastasia A.; Reinitz, John; Samsonova, Maria.

в: Fly, Том 2, № 2, 01.01.2008, стр. 58-66.

Результаты исследований: Научные публикации в периодических изданиях › Обзорная статья › Рецензирование

Harvard

Surkova, S, Myasnikova, E, Janssens, H, Kozlov, KN, Samsonova, AA, Reinitz, J & Samsonova, M 2008, 'Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images', Fly, Том. 2, № 2, стр. 58-66. https://doi.org/10.4161/fly.6060

APA

Surkova, S., Myasnikova, E., Janssens, H., Kozlov, K. N., Samsonova, A. A., Reinitz, J., & Samsonova, M. (2008). Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images. Fly, 2(2), 58-66. https://doi.org/10.4161/fly.6060

Vancouver

Surkova S, Myasnikova E, Janssens H, Kozlov KN, Samsonova AA, Reinitz J и пр. Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images. Fly. 2008 Янв. 1;2(2):58-66. https://doi.org/10.4161/fly.6060

Author

Surkova, Svetlana ; Myasnikova, Ekaterina ; Janssens, Hilde ; Kozlov, Konstantin N. ; Samsonova, Anastasia A. ; Reinitz, John ; Samsonova, Maria. / Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images. в: Fly. 2008 ; Том 2, № 2. стр. 58-66.

BibTeX

@article{82d71811975b4dd58edb3b7a3695e6ac,
title = "Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images",
abstract = "We describe a data pipeline developed to extract the quantitative data on segmentation gene expression from confocal images of gene expression patterns in Drosophila. The pipeline consists of five steps: image segmentation, background removal, temporal characterization of an embryo, data registration and data averaging. This pipeline was successfully applied to obtain quantitative gene expression data at cellular resolution in space and at the 6.5 minute resolution in time, as well as to construct a spatiotemporal atlas of segmentation gene expression. Each data pipeline step can be easily adapted to process a wide range of images of gene expression patterns.",
keywords = "Background removal, Confocal microscopy, Gene expression, Image processing, Image segmentation, Spatial registration",
author = "Svetlana Surkova and Ekaterina Myasnikova and Hilde Janssens and Kozlov, {Konstantin N.} and Samsonova, {Anastasia A.} and John Reinitz and Maria Samsonova",
year = "2008",
month = jan,
day = "1",
doi = "10.4161/fly.6060",
language = "English",
volume = "2",
pages = "58--66",
journal = "Fly",
issn = "1933-6934",
publisher = "Landes Bioscience",
number = "2",

}

RIS

TY - JOUR

T1 - Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images

AU - Surkova, Svetlana

AU - Myasnikova, Ekaterina

AU - Janssens, Hilde

AU - Kozlov, Konstantin N.

AU - Samsonova, Anastasia A.

AU - Reinitz, John

AU - Samsonova, Maria

PY - 2008/1/1

Y1 - 2008/1/1

N2 - We describe a data pipeline developed to extract the quantitative data on segmentation gene expression from confocal images of gene expression patterns in Drosophila. The pipeline consists of five steps: image segmentation, background removal, temporal characterization of an embryo, data registration and data averaging. This pipeline was successfully applied to obtain quantitative gene expression data at cellular resolution in space and at the 6.5 minute resolution in time, as well as to construct a spatiotemporal atlas of segmentation gene expression. Each data pipeline step can be easily adapted to process a wide range of images of gene expression patterns.

AB - We describe a data pipeline developed to extract the quantitative data on segmentation gene expression from confocal images of gene expression patterns in Drosophila. The pipeline consists of five steps: image segmentation, background removal, temporal characterization of an embryo, data registration and data averaging. This pipeline was successfully applied to obtain quantitative gene expression data at cellular resolution in space and at the 6.5 minute resolution in time, as well as to construct a spatiotemporal atlas of segmentation gene expression. Each data pipeline step can be easily adapted to process a wide range of images of gene expression patterns.

KW - Background removal

KW - Confocal microscopy

KW - Gene expression

KW - Image processing

KW - Image segmentation

KW - Spatial registration

UR - http://www.scopus.com/inward/record.url?scp=58149199098&partnerID=8YFLogxK

U2 - 10.4161/fly.6060

DO - 10.4161/fly.6060

M3 - Review article

C2 - 18820476

AN - SCOPUS:58149199098

VL - 2

SP - 58

EP - 66

JO - Fly

JF - Fly

SN - 1933-6934

IS - 2

ER -

ID: 34107749