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Authors: Sofia Startceva ; Jerome G. Chandraseelan ; Ari Visa and Andre S. Ribeiro

Affiliation: Tampere University of Technology, Finland

ISBN: 978-989-758-170-0

Keyword(s): Fluorescence-tagged RNA Quantification, Single-molecule Time-lapse Microscopy, Biosignal Processing.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Abstract: We present a new quantitative method of estimation of fluorescent molecule numbers from time-lapse, single-cell, fluorescence microscopy data. Its main aim is to eradicate backward propagation of noise, which is present in previous methods. The method is first validated using Monte Carlo simulations. These tests show that when the time-lapse data are corrupted with negative noise, the method obtains significantly more precise results than current techniques. The applicability of the method is demonstrated on novel time-lapse, single-cell measurements of fluorescently tagged ribonucleic acid (RNA) molecules. Interestingly, we find that the intervals inferred by the new method have the same mean but reduced variability when compared to the previously existing method, which, in accordance to human observers, is a more accurate estimation.

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Paper citation in several formats:
Startceva, S.; Chandraseelan, J.; Visa, A. and Ribeiro, A. (2016). Quantitative Estimation of Long-living Fluorescent Molecules from Temporal Fluorescence Intensity Data Corrupted by Nonzero-mean Noise.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 17-24. DOI: 10.5220/0005605900170024

@conference{biosignals16,
author={Sofia Startceva. and Jerome G. Chandraseelan. and Ari Visa. and Andre S. Ribeiro.},
title={Quantitative Estimation of Long-living Fluorescent Molecules from Temporal Fluorescence Intensity Data Corrupted by Nonzero-mean Noise},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005605900170024},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Quantitative Estimation of Long-living Fluorescent Molecules from Temporal Fluorescence Intensity Data Corrupted by Nonzero-mean Noise
SN - 978-989-758-170-0
AU - Startceva, S.
AU - Chandraseelan, J.
AU - Visa, A.
AU - Ribeiro, A.
PY - 2016
SP - 17
EP - 24
DO - 10.5220/0005605900170024

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