scholarly journals Variance lower bound on fluorescence microscopy image denoising

2020 ◽  
Vol 11 (12) ◽  
pp. 6973
Author(s):  
Yilun Li ◽  
Sheng Liu ◽  
Fang Huang
Keyword(s):  
Lower Bound ◽  
Fluorescence Microscopy ◽  
Image Denoising ◽  
Microscopy Image

scholarly journals Variance lower bound on fluorescence microscopy image denoising

2020 ◽  
Author(s):  
Yilun Li ◽  
Sheng Liu ◽  
Fang Huang
Keyword(s):  
Lower Bound ◽  
Fluorescence Microscopy ◽  
Image Denoising ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Photon Counting ◽  
Numerical Aperture ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Microscopy Image

The signal to noise ratio of high-speed fluorescence microscopy is heavily influenced by photon counting noise and sensor noise due to the expected low photon budget. Denoising algorithms are developed to decrease these noise fluctuations in the microscopy data. One question arises: whether there exists a theoretical precision limit for the performance of a denoising algorithm. In this paper, combining Cramér-Rao Lower Bound with constraints and the low-pass-filter property of microscope systems, we develop a method providing a theoretical variance lower bound of microscopy image denoising. We show that this lower bound is influenced by photon count, readout noise, detection wavelength, effective pixel size and the numerical aperture of the microscope system. We demonstrate our development by comparing multiple state-of-the-art denoising algorithms to this bound. This theoretical bound provides a reference benchmark for microscopy denoising algorithms, and establishes a framework to incorporate additional prior knowledge into theoretical denoising performance limit calculation.

scholarly journals Auto-Align - Multi-Modality Fluorescence Microscopy Image Co-registration

Traffic ◽  
2011 ◽  
Vol 13 (2) ◽  
pp. 204-217 ◽  
Author(s):  
William T. E. Pitkeathly ◽  
Natalie S. Poulter ◽  
Ela Claridge ◽  
Joshua Z. Rappoport
Keyword(s):  
Fluorescence Microscopy ◽  
Microscopy Image

Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences

2021 ◽  
Author(s):  
Lucía Arboleya ◽  
Leonardo Santos ◽  
Mariano Fernández ◽  
Lucía Rosa-Villagrán ◽  
Rossana Sapiro ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Trajectory Analysis ◽  
Image Sequences ◽  
Microscopy Image

Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach

2012 ◽  
Vol 31 (9) ◽  
pp. 1786-1808 ◽  
Author(s):  
William J. Godinez ◽  
Marko Lampe ◽  
Peter Koch ◽  
Roland Eils ◽  
Barbara Muller ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Cell Fusion ◽  
Probabilistic Approach ◽  
Image Sequences ◽  
Microscopy Image
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