Deep learning estimation of modified zernike coefficients and recovery of point spread functions in turbulence

AB Siddik, S Sandoval, D Voelz, LE Boucheron… - Optics …, 2023 - opg.optica.org
Recovering the turbulence-degraded point spread function from a single intensity image is
important for a variety of imaging applications. Here, a deep learning model based on a …

Bacterial surface swimming states revealed by TIRF microscopy

Q Liu, R He, C Zhang, R Zhang, J Yuan - Soft Matter, 2024 - pubs.rsc.org
Motility near solid surfaces plays a key role in the life cycle of bacteria and is essential for
biofilm formation, biofilm dispersal, and virulence. The alignment of the cell body with the …

Efficiency and safety of scleral lenses in rehabilitation of refractive errors and high order aberrations after penetrating keratoplasty

A Penbe, HS Kanar, S Simsek - Eye & Contact Lens, 2021 - journals.lww.com
Objectives: Visual rehabilitation after penetrating keratoplasty (PK) has difficulties linked to
the high spherical and/or cylindric refractive errors with high order aberrations (HOAs) based …

[HTML][HTML] Efficacy of custom-made soft keratoconus lenses on corneal aberrations and photic phenomena in patients with keratoconus: a corneal topography imaging …

A Penbe, HS Kanar, AK Arsan… - International Journal of …, 2023 - ncbi.nlm.nih.gov
AIM To evaluate the efficacy of custom-made soft keratoconus (KC) lenses on corneal
aberrations and photic phenomena in two different optical zones in patients with KC …

Accurate 3D morphological computational model reconstruction of suspended cells imaged through stratified media by the precise depth-varying point spread function …

Z Yang, L Zhang, N Lv, C Song, H Wang, L Luo… - Optics …, 2022 - opg.optica.org
Accurate three-dimensional (3D) morphological computational models of cells are important
in a number of biological studies. This study proposes a precise depth-varying point spread …

A semi-blind deconvolution method to estimate and remove optical aberrations

A Arandian, MI Zibaii, H Latifi - Optik, 2024 - Elsevier
Optical aberrations (ABRs) always hinder high-quality imaging, and designers make a vast
effort to correct them. We propose a computational method to estimate and remove an ABR …

Performance Evaluation of L1-Norm-Based Blind Deconvolution after Noise Reduction with Non-Subsampled Contourlet Transform in Light Microscopy Images

K Kim, JY Kim - Applied Sciences, 2024 - mdpi.com
Noise and blurring in light microscope images are representative factors that affect accurate
identification of cellular and subcellular structures in biological research. In this study, a …

Estimation of point spread function of an optical microscope using stochastic minimization of least square errors

SSG Buddha, BR Boruah - Journal of Optics, 2020 - iopscience.iop.org
In this paper we propose a point spread function (PSF) estimation scheme for an optical
microscope. The scheme is based on minimizing the least square error between the image …

Two simple criteria to estimate an objective's performance when imaging in non design tissue clearing solutions

S Asteriti, V Ricci, L Cangiano - Journal of Neuroscience Methods, 2020 - Elsevier
Tissue clearing techniques are undergoing a renaissance motivated by the need to image
fluorescent neurons, and other cells, deep in the sample without physical sectioning. Optical …

Deriving instrumental point spread functions<? TeX\break?> from partially occulted images

SJ Hofmeister, M Hahn, D Wolf Savin - Journal of the Optical Society …, 2022 - opg.optica.org
The point spread function (PSF) of an imaging system describes the response of the system
to a point source. Accurately determining the PSF enables one to correct for the combined …