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Pregled bibliografske jedinice broj: 1000805

Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration

Chen, Shuqing; Gehrer, Simone; Kaliman, Sara; Ravikumar, Nishant; Becit, Abdurrahman; Aliee, Maryam; Dudziak, Diana; Merkel, Rudolf; Smith, Ana Sunčana; Maier, Andreas K.
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration // Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck / Handels, Heinz et al. (ur.).
Wiesbaden: Springer, 2019. str. 116-121 doi:10.1007/978-3-658-25326-4_26 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 1000805 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration

Autori
Chen, Shuqing ; Gehrer, Simone ; Kaliman, Sara ; Ravikumar, Nishant ; Becit, Abdurrahman ; Aliee, Maryam ; Dudziak, Diana ; Merkel, Rudolf ; Smith, Ana Sunčana ; Maier, Andreas K.

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck / Handels, Heinz et al. - Wiesbaden : Springer, 2019, 116-121

ISBN
978-3-658-25326-4

Skup
Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen

Mjesto i datum
Lübeck, Njemačka, 17.03.2019. - 19.03.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Deformation ; Image segmentation ; Surface measurement

Sažetak
In the field of biophysics, deformation of in- vitro model tissues is an experimental technique to explore the response of tissue to a mechanical stimulus. However, automated registration before and after deformation is an ongoing obstacle for measuring the tissue response on the cellular level. Here, we propose to use an iterative point cloud registration (IPCR) method, for this problem. We apply the registration method on point clouds representing the cellular centers of mass, which are evaluated with aWatershed based segmentation of phase-contrast images of living tissue, acquired before and after deformation. Preliminary evaluation of this method on three data sets shows high accuracy, with 82% - 92% correctly registered cells, which outperforms coherent point drift (CPD). Hence, we propose the application of the IPCR method on the problem of cell correspondence analysis.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Fizika, Kemija, Interdisciplinarne prirodne znanosti

Napomena
Funding text Acknowledgement. This work has partly been supported by the European Research Council to ASS (ERC StG 2013-337283, MEMBRANESACT), by the German Research Foundation to ASS and DD (RTG 1962), and by the Emerging Field Initiative of the FAU Erlangen- Nürnberg: Big-Thera to AM, ASS and DD. SBN 978-3-658-25325-7 ; ISBN 978-3-658-25326-4 (e-book)



POVEZANOST RADA

Projekti:
EK-FP7-337283 - Biološke membrane na djelu: Jedinstveni pristup složenosti, biomembranskim potporama i aktivnom transportu (MEMBRANESACT) (Smith, Ana Sunčana, EK ) ( CroRIS)

Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Ana Sunčana Smith (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Chen, Shuqing; Gehrer, Simone; Kaliman, Sara; Ravikumar, Nishant; Becit, Abdurrahman; Aliee, Maryam; Dudziak, Diana; Merkel, Rudolf; Smith, Ana Sunčana; Maier, Andreas K.
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration // Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck / Handels, Heinz et al. (ur.).
Wiesbaden: Springer, 2019. str. 116-121 doi:10.1007/978-3-658-25326-4_26 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Chen, S., Gehrer, S., Kaliman, S., Ravikumar, N., Becit, A., Aliee, M., Dudziak, D., Merkel, R., Smith, A. & Maier, A. (2019) Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. U: Handels, H. (ur.)Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck doi:10.1007/978-3-658-25326-4_26.
@article{article, author = {Chen, Shuqing and Gehrer, Simone and Kaliman, Sara and Ravikumar, Nishant and Becit, Abdurrahman and Aliee, Maryam and Dudziak, Diana and Merkel, Rudolf and Smith, Ana Sun\v{c}ana and Maier, Andreas K.}, editor = {Handels, H.}, year = {2019}, pages = {116-121}, DOI = {10.1007/978-3-658-25326-4\_26}, keywords = {Deformation, Image segmentation, Surface measurement}, doi = {10.1007/978-3-658-25326-4\_26}, isbn = {978-3-658-25326-4}, title = {Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration}, keyword = {Deformation, Image segmentation, Surface measurement}, publisher = {Springer}, publisherplace = {L\"{u}beck, Njema\v{c}ka} }
@article{article, author = {Chen, Shuqing and Gehrer, Simone and Kaliman, Sara and Ravikumar, Nishant and Becit, Abdurrahman and Aliee, Maryam and Dudziak, Diana and Merkel, Rudolf and Smith, Ana Sun\v{c}ana and Maier, Andreas K.}, editor = {Handels, H.}, year = {2019}, pages = {116-121}, DOI = {10.1007/978-3-658-25326-4\_26}, keywords = {Deformation, Image segmentation, Surface measurement}, doi = {10.1007/978-3-658-25326-4\_26}, isbn = {978-3-658-25326-4}, title = {Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration}, keyword = {Deformation, Image segmentation, Surface measurement}, publisher = {Springer}, publisherplace = {L\"{u}beck, Njema\v{c}ka} }

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