Autofocusing technologies for whole slide imaging and automated microscopy
Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in
recent years. Due to the inherent tissue topography variability, accurate autofocusing …
recent years. Due to the inherent tissue topography variability, accurate autofocusing …
A review of computational methods for cervical cells segmentation and abnormality classification
Cervical cancer is the one of the most common cancers in women worldwide, affecting
around 570,000 new patients each year. Although there have been great improvements …
around 570,000 new patients each year. Although there have been great improvements …
Single-shot autofocusing of microscopy images using deep learning
Autofocusing is a critical step for high-quality microscopic imaging of specimens, especially
for measurements that extend over time covering large fields of view. Autofocusing is …
for measurements that extend over time covering large fields of view. Autofocusing is …
Whole slide imaging system using deep learning-based automated focusing
T Rai Dastidar, R Ethirajan - Biomedical Optics Express, 2019 - opg.optica.org
The auto focusing system, which involves moving a microscope stage along a vertical axis to
find an optimal focus position, is the chief component of an automated digital microscope …
find an optimal focus position, is the chief component of an automated digital microscope …
Automation‐assisted cervical cancer screening in manual liquid‐based cytology with hematoxylin and eosin staining
Current automation‐assisted technologies for screening cervical cancer mainly rely on
automated liquid‐based cytology slides with proprietary stain. This is not a cost‐efficient …
automated liquid‐based cytology slides with proprietary stain. This is not a cost‐efficient …
Focus quality assessment of high-throughput whole slide imaging in digital pathology
MS Hosseini, JAZ Brawley-Hayes… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
One of the challenges facing the adoption of digital pathology workflows for clinical use is
the need for automated quality control. As the scanners sometimes determine focus …
the need for automated quality control. As the scanners sometimes determine focus …
Millisecond autofocusing microscopy using neuromorphic event sensing
Rapid autofocusing is essential for many microscopic imaging applications. Existing
methods either require complicated hardware implementations or slow z-stack image …
methods either require complicated hardware implementations or slow z-stack image …
[HTML][HTML] Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Deep learning-based virtual staining was developed to introduce image contrast to label-
free tissue sections, digitally matching the histological staining, which is time-consuming …
free tissue sections, digitally matching the histological staining, which is time-consuming …
An image auto-focusing algorithm for industrial image measurement
S Liu, M Liu, Z Yang - EURASIP Journal on Advances in Signal …, 2016 - Springer
Auto-focusing task, which automatically obtains the best image focus, plays an important
role to improve the image definition for the industrial image measurement application. Image …
role to improve the image definition for the industrial image measurement application. Image …
Study of an image autofocus method based on power threshold function wavelet reconstruction and a quality evaluation algorithm
Z Yan, G Chen, W Xu, C Yang, Y Lu - Applied optics, 2018 - opg.optica.org
As a key component in optical microscopy imaging systems, autofocus technology has a
significant effect on imaging quality. In this paper, an optical microscopy autofocus method …
significant effect on imaging quality. In this paper, an optical microscopy autofocus method …