Locally adaptive thresholding centroid localization in confocal microscopy

Cheng Chen, Richard Leach, Jian Wang, Xiaojun Liu, Jane Jiang, Wenlong Lu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We introduce an iteration-free approach, based on a centroid algorithm with a locally adaptive threshold, for nanometer-level peak position localization of the axial response signal in confocal microscopy. This approach has localization accuracies that are near theoretical limits, especially when there is a small number of sampling points within the discrete signal. The algorithm is also orders of magnitude faster compared to fitting schemes based on maximum likelihood estimation. Simulations and experiments demonstrate the localization performance of the approach.
Original languageEnglish
Pages (from-to)1616-1619
Number of pages4
JournalOptics Letters
Volume46
Issue number7
Early online date23 Mar 2021
DOIs
Publication statusPublished - 1 Apr 2021

Fingerprint

Dive into the research topics of 'Locally adaptive thresholding centroid localization in confocal microscopy'. Together they form a unique fingerprint.

Cite this