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MUSICAL

Chip-based MUSICAL nanoscopy for imaging endocytosis pathways of phage viruses in liver sinusoidal endothelial cells

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EC-Contrib. €

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Partnership

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Project "MUSICAL" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET 

Organization address
address: HANSINE HANSENS VEG 14
city: TROMSO
postcode: 9019
website: http://uit.no/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Norway [NO]
 Project website http://3dnanoscopy.uit.no
 Total cost 208˙400 €
 EC max contribution 208˙400 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-06-09   to  2019-06-08

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET NO (TROMSO) coordinator 208˙400.00

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 Project objective

Research in biology is both empowered and limited by the fluorescence imaging technology, which has witnessed a huge leap in resolution limits through super-resolved optical microscopy or also referred as optical nanoscopy. Over the last few decades, numerous optical nanoscopy techniques have been reported for either spatial or temporal resolution enhancement. Nevertheless, the present state-of-the-art of optical nanoscopy lacks to provide high optical resolution (50 nm or better) at high temporal resolution (~1 Hz) over large field of view (> 500 X 500 μm2) in live-cell friendly imaging conditions, such as without special buffer/fluorophores and with minimum photo-toxicity. In this proposal, the aim is to provide ~50 nm optical resolution at significantly small temporal scales (~ seconds) in photochemical environment which is physiologically conducive for in-vivo bio-imaging applications. This is achieved by incorporating complementary knowledge and intra-disciplinary skills on the computational nanoscopy (of the experienced researcher, ER) and chip-based optical nanoscopy technique (developed by the hosting PI). The aim is to apply Multiple Signal Classification algorithm (MUSICAL), a computational nanoscopy algorithm developed by the experienced researcher with the fluctuating illumination provided by waveguide chip-based optical nanoscopy developed at the host university, namely Universite it Tromsø, under the ERC funded project (Nanoscopy, PI: Ahuliwalia). The technique shall be used to image and understand endocytosis transport-highway of phages virus in liver endothelial scavenger cells.

 Publications

year authors and title journal last update
List of publications.
2018 Ø. I. Helle, J.-C. Tinguely, D. A. Coucheron, F. Dullo, C. I. Øie, K. Agarwal, B. S. Ahluwalia
Photonic Chip-Based Multi-Modality TIRF Nanoscopy Platform
published pages: , ISSN: , DOI:
Focus on Microscopy 2020-01-27
2018 K. Agarwal, L. E. V. Hernandez, I.-S. Opstad, M. Nystad, Å. B. Birgisdottir, T. Kalstad, T. Myrmel, C. I. Øie, and B. S. Ahluwalia
High-speed, high resolution, multi-color imaging of living cells and tissues using MUSICAL
published pages: , ISSN: , DOI:
SPIE Optics + Photonics 2018 2020-01-27
2018 I.-S. Opstad, K. Agarwal, D. A. Popova, G. Acharya, P. Basnet, B. S. Ahluwalia
Live-cell optical nanoscopy of human spermatozoa
published pages: , ISSN: , DOI:
Norwegian Electro-optics meeting 2018 2020-01-27
2019 S. A. A. Maldonado, I.-S. Opstad, L. E. V. Hernandez, M. Nystad, M. Aguilera, M. Storflor, C. I. Oie, S. Abel, A. B. Birgisdottir, T. Karstad, D. L. Wolfson, J.-C. Tinguely, T. Myrmel, P. McCourt, T. Johansen, B. S. Ahluwalia, K. Agarwal
Fluorescence Nanoscopy Using Multiple Signal Classification Algorithm (MUSICAL): From Electromagnetics Inverse Scattering Problem to Optics Inverse Source Problem
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 2020-01-27
2018 K. Agarwal, I.-S. Opstad, M. Aguilera, M. Storflor, Ã…. B. Birgisdottir, D. Wolfson, T. Kalstad, S. Abel, T. Myrmel, T. Johansen, and B. S. Ahluwalia
Breaking the diffraction barrier at high-speed using MUSICAL
published pages: , ISSN: , DOI:
Norwegian Electro-optics meeting 2018 2020-01-27
2019 S. A. A. Maldonado, G. M. A. Mehedi Hussain, F. Godtliebsen, B. S. Ahluwalia, H. P. Ha, D. K. Prasad, K. Agarwal
Multiple Signal Classification: Challenges on the Route from Millimeter Resolution to Nanometer Resolution
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 2020-01-27
2018 Krishna Agarwal, Radek Macháň, Dilip K. Prasad
Non-heuristic automatic techniques for overcoming low signal-to-noise-ratio bias of localization microscopy and multiple signal classification algorithm
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-23374-7
Scientific Reports 8/1 2020-01-27
2018 K. Agarwal, I.S. Opstad, J.C. Tinguely, S. Abel, T. Kalstad, A.B. Birgisdottir, T. Myrmel, B.S. Ahluwalia
High-Speed, Multi-Color Live Cell Nanoscopy Using Musical
published pages: , ISSN: , DOI:
Focus on Microscopy 2020-01-27
2017 Krishna Agarwal, Dilip K. Prasad
Eigen-analysis reveals components supporting super-resolution imaging of blinking fluorophores
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-04544-5
Scientific Reports 7/1 2020-01-27
2017 K. Agarwal, Ø. I. Helle, T.D. Firehun, J.-C. Tinguely , and B. S. Ahluwalia,
Low toxicity super-resolution imaging at high temporal speed using chip-based speckle-MUSICAL suitable for live cell imaging
published pages: , ISSN: , DOI:
EMBL Symposia- Seeing is Believing - Imaging the Processes of Life 2020-01-27
2017 K. Agarwal
Multiple Signal Classification: From Millimeter Resolution to Nanometer Resolution
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 2020-01-27
2017 I. S. Opstad, S. Abel, B. S. Ahluwalia and K. Agarwal
Multi-color nanoscopy of live-cell processes in E. coli bacteria using MUSICAL
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 2020-01-27
2017 K. Agarwal, B. Ghosh, D. L. Wolfson, C. I. Oie, J. Chatterjee, and B. S. Ahluwalia
Computational Nanoscopy Using Multiple Signal Classification Algorithm (MUSICAL) for Fluorescence Imaging
published pages: , ISSN: , DOI:
Progress In Electromagnetics Research Symposium 2020-01-27

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