Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells

Eero Lihavainen; Jarno Mäkelä; Johannes N. Spelbrink; Andre S. Ribeiro

doi:10.1007/978-3-319-23234-8_34

Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells

Eero Lihavainen^*
, Jarno Mäkelä
, Johannes N. Spelbrink
, Andre S. Ribeiro

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal microscope images of U2OS human osteosarcoma cells. We then adopt a particle tracking framework for tracking the detected tips, and quantify the tracking accuracy on simulated data. Finally, from images of U2OS cells, we quantify changes in mitochondrial mobility in response to the disassembly of microtubules via treatment with Nocodazole. The results show that our approach provides efficient tracking of the tips of mitochondria, and that it enables the detection of disease-associated changes in mitochondrial motility.

Alkuperäiskieli	Englanti
Otsikko	Image Analysis and Processing — ICIAP 2015
Alaotsikko	18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II
Kustantaja	Springer-Verlag
Sivut	363-372
Sivumäärä	10
Vuosikerta	9280
ISBN (painettu)	9783319232331
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-319-23234-8_34
Tila	Julkaistu - 2015
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING - Kesto: 1 tammik. 1900 → …

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta	9280
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Conference

Conference	INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING
Ajanjakso	1/01/00 → …

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!!ASJC Scopus subject areas

Yleinen tietojenkäsittelytiede
Theoretical Computer Science

Pääsy asiakirjaan

10.1007/978-3-319-23234-8_34

Siteeraa tätä

Lihavainen, E., Mäkelä, J., Spelbrink, J. N., & Ribeiro, A. S. (2015). Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells. teoksessa Image Analysis and Processing — ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II (Vuosikerta 9280, Sivut 363-372). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 9280). Springer-Verlag. https://doi.org/10.1007/978-3-319-23234-8_34

Lihavainen, Eero ; Mäkelä, Jarno ; Spelbrink, Johannes N. et al. / Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells. Image Analysis and Processing — ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II. Vuosikerta 9280 Springer-Verlag, 2015. Sivut 363-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b97da5a8c7bc4e97a14704c15d2b360c,

title = "Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells",

abstract = "We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal microscope images of U2OS human osteosarcoma cells. We then adopt a particle tracking framework for tracking the detected tips, and quantify the tracking accuracy on simulated data. Finally, from images of U2OS cells, we quantify changes in mitochondrial mobility in response to the disassembly of microtubules via treatment with Nocodazole. The results show that our approach provides efficient tracking of the tips of mitochondria, and that it enables the detection of disease-associated changes in mitochondrial motility.",

keywords = "Detection, Image analysis, Mitochondria, Tracking",

author = "Eero Lihavainen and Jarno M{\"a}kel{\"a} and Spelbrink, \{Johannes N.\} and Ribeiro, \{Andre S.\}",

year = "2015",

doi = "10.1007/978-3-319-23234-8\_34",

language = "English",

isbn = "9783319232331",

volume = "9280",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag",

pages = "363--372",

booktitle = "Image Analysis and Processing — ICIAP 2015",

note = "International Conference on Image Analysis and Processing ; Conference date: 01-01-1900",

}

Lihavainen, E, Mäkelä, J, Spelbrink, JN & Ribeiro, AS 2015, Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells. julkaisussa Image Analysis and Processing — ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II. Vuosikerta 9280, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vuosikerta 9280, Springer-Verlag, Sivut 363-372, INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, 1/01/00. https://doi.org/10.1007/978-3-319-23234-8_34

Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells. / Lihavainen, Eero; Mäkelä, Jarno; Spelbrink, Johannes N. et al.
Image Analysis and Processing — ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II. Vuosikerta 9280 Springer-Verlag, 2015. s. 363-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 9280).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells

AU - Lihavainen, Eero

AU - Mäkelä, Jarno

AU - Spelbrink, Johannes N.

AU - Ribeiro, Andre S.

PY - 2015

Y1 - 2015

N2 - We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal microscope images of U2OS human osteosarcoma cells. We then adopt a particle tracking framework for tracking the detected tips, and quantify the tracking accuracy on simulated data. Finally, from images of U2OS cells, we quantify changes in mitochondrial mobility in response to the disassembly of microtubules via treatment with Nocodazole. The results show that our approach provides efficient tracking of the tips of mitochondria, and that it enables the detection of disease-associated changes in mitochondrial motility.

AB - We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal microscope images of U2OS human osteosarcoma cells. We then adopt a particle tracking framework for tracking the detected tips, and quantify the tracking accuracy on simulated data. Finally, from images of U2OS cells, we quantify changes in mitochondrial mobility in response to the disassembly of microtubules via treatment with Nocodazole. The results show that our approach provides efficient tracking of the tips of mitochondria, and that it enables the detection of disease-associated changes in mitochondrial motility.

KW - Detection

KW - Image analysis

KW - Mitochondria

KW - Tracking

U2 - 10.1007/978-3-319-23234-8_34

DO - 10.1007/978-3-319-23234-8_34

M3 - Conference contribution

AN - SCOPUS:84944768777

SN - 9783319232331

VL - 9280

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 363

EP - 372

BT - Image Analysis and Processing — ICIAP 2015

PB - Springer-Verlag

T2 - International Conference on Image Analysis and Processing

Y2 - 1 January 1900

ER -

Lihavainen E, Mäkelä J, Spelbrink JN, Ribeiro AS. Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells. julkaisussa Image Analysis and Processing — ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II. Vuosikerta 9280. Springer-Verlag. 2015. s. 363-372. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-23234-8_34

Detecting and tracking the tips of fluorescently labeled mitochondria in U2OS cells

Abstrakti

Julkaisusarja

Conference

YK:n kestävän kehityksen tavoitteet

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä