Results 61 to 70 of about 1,019 (182)
Abstract Laser scanning fluorescence microscopy (LSFM) is a widely used imaging method, but image quality is often degraded by noise. Averaging techniques can enhance the signal‐to‐noise ratio (SNR), but while this can improve image quality, excessive frame accumulation can introduce photobleaching and may lead to unnecessarily long acquisition times ...
S. Foylan +4 more
wiley +1 more source
ABSTRACT Modern medical imaging equipment can capture very high‐resolution images with detailed features. These high‐resolution images have been used in several domains. Diabetic retinopathy (DR) is a medical condition where increased blood sugar levels of diabetic patients affect the retinal vessels of the eye.
Mohsin Butt +4 more
wiley +1 more source
Computational 3D topographic microscopy from terabytes of data per sample
We present a large-scale computational 3D topographic microscope that enables 6-gigapixel profilometric 3D imaging at micron-scale resolution across >110 cm2 areas over multi-millimeter axial ranges. Our computational microscope, termed STARCAM (Scanning
Kevin C. Zhou +12 more
doaj +1 more source
Wavelet‐Based Feature Extraction for Efficient High‐Resolution Image Classification
The paper introduces a novel CNN architecture that uses wavelet‐domain inputs for high‐resolution image processing. A wavelet‐domain efficient channel attention module that dynamically focuses on informative wavelet subbands is also presented. The proposed architecture improves classification accuracy while reducing computational complexity.
Albert Dede +7 more
wiley +1 more source
Abstract Even though the simulations used to predict failure are becoming increasingly predictive, complex multiaxial loading tests are still required to validate the design of structural components in a wide range of industries. Large specimen testing often requires two different scales.
J. Serra +4 more
wiley +1 more source
Optical Surface Roughness Estimation Using Artificial Intelligence
An artificial intelligence (AI) model has been developed using a data set recorded by a laser triangulation scanner and a digital camera. This model is capable of identifying whether blasted steel surfaces are good or bad, and it can also estimate the roughness of these surfaces in the form of the Rz parameter, based on images alone.
Jacob Maxa, Mathias Nowottnick
wiley +1 more source
0.5 gigapixel microscopy using a flatbed scanner [PDF]
The capability to perform high-resolution, wide field-of-view (FOV) microscopy imaging is highly sought after in biomedical applications. In this paper, we report a wide FOV microscopy system that uses a closed-circuit-television (CCTV) lens for image ...
Yang, Changhuei +2 more
core
A Systematic Review on Cell Nucleus Instance Segmentation
This survey provides a comprehensive overview of cell nucleus instance segmentation, covering both traditional and deep‐learning‐based methods. It highlights the strengths and limitations of these approaches while addressing key challenges such as ethical implications, robustness under varying imaging conditions, computational constraints, and the ...
Yulin Chen +4 more
wiley +1 more source
Optomechanical System Development of the AWARE Gigapixel Scale Camera [PDF]
Electronic focal plane arrays (FPA) such as CMOS and CCD sensors have dramatically improved to the point that digital cameras have essentially phased out film (except in very niche applications such as hobby photography and cinema).
Son, Hui
core

