Wednesday, 16 May 2012

Ivan ADANJA

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Contact

iadanja@ulb.ac.be
tel.:+32 2 650 22 95
fax:+32 2 650 22 98

ULB - SLN CP165/57
50, Av. F.Roosevelt
1050 Bruxelles
Belgium

Research

Development of methods and tools for image analysis and automatic feature extraction in phase-contrast cell images (project page:Cellular imaging). Specifically, the goal of my research is to develop methods for 3D cell tracking and morphological features extraction.

Publications

Papers

Adanja, I., Megalizzi, V., Debeir, O., Decaestecker, C.,
A new method to address unmet needs for extracting individual cell migration features from a large number of cells embedded in 3D volumes
PLoS ONE, Vol. 6, pp. e22263, 2011
Bibtex
Bibtex : pmid21789244


Letort V., Fouliard S., Letort G., Adanja I., Kumasaka M., Gallagher S., Debeir O., Larue L., Xavier F.,
Quantitative Analysis of Melanocyte Migration in vitro Based on Automated Cell Tracking under Phase Contrast Microscopy Considering the Combined Influence of Cell Division and Cell-Matrix Interactions
Mathematical Modelling of Natural Phenomena, Vol. 5, 1, pp. 4-33, Feb 2010
Bibtex
Bibtex : letort10a
Abstract : The aim of this study was to describe and analyze the regulation and spatio-temporal dynamics of melanocyte migration in vitro and its coupling to cell division and interaction with the matrix. The melanocyte lineage is particularly interesting because it is involved in both embryonic development and oncogenesis/metastasis (melanoma). Biological experiments were performed on two melanocyte cell lines established from wild-type and β-catenin-transgenic mice (bcat*). The multi-functional β-catenin molecule is known to be able to regulate the transcription of various genes involved in cell proliferation and migration, particularly in the melanocyte lineage. We also investigated fibronectin, an extra-cellular matrix protein that binds integrins, thereby providing adhesion points for cells and encouraging migration. As the migration of individual cells were followed, automated methods were required for processing the large amount of data generated by the time-lapse video-microscopy. A model-based approach for automated cell tracking was evaluated on a sample by comparison with manual tracking. This method was found reliable in studying overall cell behaviour. Its application to all the observed sequences provided insight into the factors affecting melanocyte migration in vitro: melanocytes of mutated form of β-catenin showed higher division rates and no contact inhibition of growth was induced by the resulting increase in cell density. However, cell density limited the amplitude of cell displacements, although their motility was less affected. The high fibronectin concentration bound to substratum promoted cell migration and motility, the effect being more intense for wild-type cells than for cells with β-catenin over-expression. During the division process, cell migration speed increased rapidly then decreased slowly. Analyses of such data is expected to lead both to biological answers and to a framework for a better modeling processes in the future.


Ivan Adanja, Olivier Debeir, Véronique Mégalizzi, Robert Kiss, Nadine Warzée, Christine Decaestecker,
Automated tracking of unmarked cells migrating in three-dimensional matrices applied to anti-cancer drug screening
Experimental Cell Research, Vol. 316, 2, pp. 181 - 193, 2010
Bibtex
Bibtex : adanja10


Wauthoz N., Deleuze Ph., Hecq J., Roland I., Saussez S., Adanja I., Debeir O., Decaestecker C., Mathieu V., Kiss R., Amighi K.,
In Vivo Assessment of Temozolomide Local Delivery for Lung Cancer Inhalation Therapy
European Journal of Pharmaceutical Sciences, Vol. 39, pp. 402-411, 2010
Bibtex
Bibtex : wauthoz10a


Conferences

O. Debeir, I. Adanja, N. Warzée, P. Van Ham, C. Decaestecker,
Phase contrast image segmentation by weak watershed transform assembly
Proceedings of 5th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI), pp. 724-727, 2008
Bibtex
Bibtex : debeir08d


O. Debeir, R. Van Ginckel, I. Adanja, F. Darro, R. Kiss, C. Decaestecker,
High throughput characterization of anti-cancer compounds by means of cellular imaging and automatic image analysis.
2007 AACR Annual Meeting in Los Angeles, CA, Apr 2007
Bibtex
Bibtex : debeir07


O. Debeir, I. Adanja, R. Kiss, C. Decaestecker,
Automatic in vitro cell division characterization by automatic image sequence analysis.
Belgian Day on Biomedical Engineering - IEEE Benelux EMBS Symposium. Brussels 7-8 December 2006, Dec 2006
Bibtex
Bibtex : debeir06p2


Books chapters

Debeir O., Adanja I., Kiss R., Decaestecker C.,
Models of cancer cell migration and cellular imaging and analysis
The Motile Actin System in Health and Disease, pp. 123-156, Kerala (India), 2008
Bibtex
Bibtex : debeir08b