Results 1 to 10 of about 13,487 (124)

Using Beads as a Focus Fiduciary to Aid Software-Based Autofocus Accuracy in Microscopy [PDF]

Bio-Protocol
Brightfield microscopy is an ideal application for studying live cell systems in a minimally invasive manner. This is advantageous in long-term experiments to study dynamic cellular processes such as stress response.
Isabel Gibson, Elizabeth Osterlund, Ray Truant   +2 more
doaj   +2 more sources

Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learning [PDF]

Microsystems & Nanoengineering
Microscopic imaging is a critical tool in scientific research, biomedical studies, and engineering applications, with an urgent need for system miniaturization and rapid, precision autofocus techniques.
Jing Zhang, Yong-feng Fu, Hao Shen, Quan Liu, Li-ning Sun, Li-guo Chen   +5 more
doaj   +2 more sources

Deep Learning-Assisted Autofocus for Aerial Cameras in Maritime Photography [PDF]

Journal of Imaging
To address the unreliable autofocus problem of drone-mounted visible-light aerial cameras in low-contrast maritime environments, this paper proposes an autofocus system that combines deep-learning-based coarse focusing with traditional search-based fine ...
Haiying Liu, Yingchao Li, Shilong Xu, Haoyu Wang, Qiang Fu, Huilin Jiang   +5 more
doaj   +2 more sources

Deep Learning-Based Dynamic Region of Interest Autofocus Method for Grayscale Image [PDF]

Sensors
In the field of autofocus for optical systems, although passive focusing methods are widely used due to their cost-effectiveness, fixed focusing windows and evaluation functions in certain scenarios can still lead to focusing failures.
Yao Wang, Chuan Wu, Yunlong Gao, Huiying Liu   +3 more
doaj   +2 more sources

Airborne SAR Autofocus Based on Blurry Imagery Classification

Remote Sensing, 2021
Existing airborne SAR autofocus methods can be classified as parametric and non-parametric. Generally, non-parametric methods, such as the widely used phase gradient autofocus (PGA) algorithm, are only suitable for scenes with many dominant point targets,
Jianlai Chen, Hanwen Yu, Gang Xu, Junchao Zhang, Buge Liang, Degui Yang   +5 more
doaj   +1 more source

Enhancing Autofocus in Non-Mydriatic Fundus Photography: A Fast and Robust Approach with Adaptive Window and Path-Optimized Search

Applied Sciences, 2023
Non-mydriatic fundus photography (NMFP) plays a vital role in diagnosing eye diseases, with its performance primarily dependent on the autofocus process.
Zeyuan Liu, Shufang Qiu, Huaiyu Cai, Yi Wang, Xiaodong Chen   +4 more
doaj   +1 more source

Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images

Sensors, 2021
Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and ...
Haemin Lee, Chang-Sik Jung, Ki-Wan Kim
doaj   +1 more source

Can Liquid Lenses Increase Depth of Field in Head Mounted Video See-Through Devices?

Journal of Imaging, 2021
Wearable Video See-Through (VST) devices for Augmented Reality (AR) and for obtaining a Magnified View are taking hold in the medical and surgical fields.
Marina Carbone, Davide Domeneghetti, Fabrizio Cutolo, Renzo D’Amato, Emanuele Cigna, Paolo Domenico Parchi, Marco Gesi, Luca Morelli, Mauro Ferrari, Vincenzo Ferrari   +9 more
doaj   +1 more source

SAR minimum entropy autofocusing based on Prewitt operator.

PLoS ONE, 2023
Current autofocus algorithms utilizing image criteria impose a significant computational burden. Therefore, this paper proposes a computationally efficient autofocus algorithm combined with SAR image feature points, employing the Prewitt operator to ...
Xiaoze Hou, Yanheng Ma
doaj   +1 more source

Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine

Remote Sensing, 2021
Inaccurate Synthetic Aperture Radar (SAR) navigation information will lead to unknown phase errors in SAR data. Uncompensated phase errors can blur the SAR images. Autofocus is a technique that can automatically estimate phase errors from data.
Zhi Liu, Shuyuan Yang, Zhixi Feng, Quanwei Gao, Min Wang   +4 more
doaj   +1 more source