Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 45,
  • Issue 4,
  • pp. 560-565
  • (1991)

Fluorescence Pattern Analysis Based on the Time-Resolved Ratio Method

Not Accessible

Your library or personal account may give you access

Abstract

A new technique is described for component pattern analysis based on time-resolved fluorescence image detection and a ratio method calculation. Differences in fluorescence lifetimes of components are positively utilized to estimate the spatial distribution of each component. Simulation results of the ratio method for fluorescence pattern analysis are discussed. Spatial deconvolution of multicomponent fluorescence data is rapidly carried out from a set of time-resolved, two-dimensional fluorescence data. An example of the application of a multigate time-resolved ratio method for fluorescence pattern analysis is provided. From the results, it is shown that the new method can be successfully used for multicomponent fluorescence pattern analysis at a reasonable signal-to-noise ratio.

PDF Article
More Like This
Feasibility analysis of an epidermal glucose sensor based on time-resolved fluorescence

Kamal M. Katika and Laurent Pilon
Appl. Opt. 46(16) 3359-3368 (2007)

Time-resolved Hadamard fluorescence imaging

Kai Hassler, Tiemo Anhut, and Theo Lasser
Appl. Opt. 44(35) 7564-7572 (2005)

Fluorescence lifetime imaging from time resolved measurements using a shape-based approach

Diego Álvarez, Paúl Medina, and Miguel Moscoso
Opt. Express 17(11) 8843-8855 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.