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Purdue University

LINEAR AND NONLINEAR FLUORESCENCE LIFETIME IMAGING FOR BIOSENSING APPLICATIONS

Abstract

dc:description.abstract

Fluorescence techniques, based on both linear and non-linear excitation, have been widely used in biosensing application. Among fluorescence techniques, Fluorescence Lifetime Imaging (FLIM) has gained increased importance because of their robust and versatile feature. FLIM is a technique to visualize the spatial distribution of picosecond to nanosecond excited state lifetimes within microscopic images. In this work, FLIM technique combined with Time Correlated Single Photon Counting (TCPSC) Technology was used to develop several novel biosensing approaches. Using linear or nonlinear excitation source, TCSPC-FLIM enabled real time monitoring of cellular metabolite profiles, as well as longitudinal observation of post-translational enzyme activity such as kinase phosphorylation and acetyltransferase acetylation. This technique will not only provide high spatiotemporal resolution of sensing output but also for the first time, realize real-time biosensing in live intact single cell within 2 D culture, 3D culture and in-vivo animal model, zebrafish.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural and Biological Engineering
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Damayanti, Nur Pradani
Contributors dc:contributor
  • JOSEPH MK IRUDAYARAJ
  • PAUL J ROBINSON
  • MENG DENG
  • JENNA RICKUS

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-2459

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Damayanti, Nur Pradani. LINEAR AND NONLINEAR FLUORESCENCE LIFETIME IMAGING FOR BIOSENSING APPLICATIONS. Dissertation thesis, 2016. https://docs.lib.purdue.edu/open_access_dissertations/1243