Imaging Free and Bound NADH Towards Cancer Tissue Detection Using FLIM System Based on SPAD Array

Piotr M. Wargocki, Samuel Burri, Claudio Bruschini, Ivan M Antolovic, Edoardo Charbon, Ewa M. Goldys, David J. Spence

    Research output: Contribution to conferenceAbstractScientific

    1 Citation (Scopus)

    Abstract

    Summary form only given. Single photon detectors allow us to work with the weakest signals such as auto-fluorescent biological sources. In combination with time gated operation mode, an array of detectors can be used as Fluorescence Lifetime Imaging system with extremely high sensitivity.Here we present fluorescence lifetime imaging using the `SwissSPAD' [1] sensor, an extensive 512-by-128pixel array of time-gated single photon avalanche diodes (SPADs). By taking a series of gated measurements and changing the gate delay, fluorescent lifetimes can be retrieved for each individual pixels. Over 65 thousand independent SPAD pixels creates a detailed spatial map of fluorescence lifetimes in the field of view of the sensor. In this work, we are presenting two milestones of our research. Firstly, we present proof of principle imaging lifetime measurements of Rhodamine B and Fluorescein, with lifetimes of 1.68ns and 4ns ns respectively, excited using a 532 nm 10 picosecond laser. Secondly, we show that using 266 nm excitation, we can distinguish between free(0.5ns) and bound(2.2ns) NADH using unlabelled auto-fluorescence. Freeand bound-NADH are known to be markers for the cancer tissues [2].
    Original languageEnglish
    Pages1-1
    Number of pages1
    DOIs
    Publication statusPublished - 2017
    EventCLEO®/Europe-EQEC 2017: Conference on Lasers and Electro-Optics - European Quantum Electronics Conference - Munich, Germany
    Duration: 25 Jun 201729 Jun 2017
    http://www.cleoeurope.org/

    Conference

    ConferenceCLEO®/Europe-EQEC 2017
    CountryGermany
    CityMunich
    Period25/06/1729/06/17
    Internet address

    Keywords

    • Imaging
    • Fluorescence
    • Logic gates
    • Cancer
    • Photonics
    • Detectors
    • Real-time systems

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