Trends in single-molecule total internal reflection fluorescence imaging and their biological applications with lab-on-a-chip technology
L Colson, Y Kwon, S Nam, A Bhandari, NM Maya, Y Lu… - Sensors, 2023 - mdpi.com
Single-molecule imaging technologies, especially those based on fluorescence, have been
developed to probe both the equilibrium and dynamic properties of biomolecules at the …
developed to probe both the equilibrium and dynamic properties of biomolecules at the …
Total variation--based phase retrieval for Poisson noise removal
Phase retrieval plays an important role in vast industrial and scientific applications. We
consider a noisy phase retrieval problem in which the magnitudes of the Fourier transform …
consider a noisy phase retrieval problem in which the magnitudes of the Fourier transform …
Extracting physics of life at the molecular level: A review of single-molecule data analyses
Studying individual biomolecules at the single-molecule level has proved very insightful
recently. Single-molecule experiments allow us to probe both the equilibrium and …
recently. Single-molecule experiments allow us to probe both the equilibrium and …
A convex approach for image restoration with exact Poisson--Gaussian likelihood
The Poisson--Gaussian model can accurately describe the noise present in a number of
imaging systems. However most existing restoration methods rely on approximations of the …
imaging systems. However most existing restoration methods rely on approximations of the …
Adaptive total variation based image segmentation with semi-proximal alternating minimization
To improve the image segmentation quality, it is important to adequately describe the local
features of targets in images. In this paper, we develop a novel adaptive total variation …
features of targets in images. In this paper, we develop a novel adaptive total variation …
Two-stage image segmentation based on nonconvex ℓ2− ℓp approximation and thresholding
Image segmentation is of great importance in image processing. In this paper, we propose a
two-stage image segmentation strategy based on the nonconvex ℓ 2− ℓ p approximation of …
two-stage image segmentation strategy based on the nonconvex ℓ 2− ℓ p approximation of …
Variational approach for restoring blurred images with Cauchy noise
The restoration of images degraded by blurring and noise is one of the most important tasks
in image processing. In this paper, based on the total variation (TV) we propose a new …
in image processing. In this paper, based on the total variation (TV) we propose a new …
A variational model for nonuniform low-light image enhancement
Low-light image enhancement plays an important role in computer vision applications,
which is a fundamental low-level task and can affect high-level computer vision tasks. To …
which is a fundamental low-level task and can affect high-level computer vision tasks. To …
Joint segmentation and deconvolution of ultrasound images using a hierarchical Bayesian model based on generalized Gaussian priors
This paper proposes a joint segmentation and deconvolution Bayesian method for medical
ultrasound (US) images. Contrary to piecewise homogeneous images, US images exhibit …
ultrasound (US) images. Contrary to piecewise homogeneous images, US images exhibit …
Primal-dual algorithms for total variation based image restoration under Poisson noise
We consider the problem of restoring images corrupted by Poisson noise. Under the
framework of maximum a posteriori estimator, the problem can be converted into a …
framework of maximum a posteriori estimator, the problem can be converted into a …