14 citations · 28 across the 5 of their papers we have counts for
5 papers
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning
Jason L. Deglint, Chao Jin, Alexander Wong
Under the impact of global climate changes and human activities, harmful algae blooms in surface waters have become a growing concern due to negative impacts on water related indus…
SAMSON: Spectral Absorption-fluorescence Microscopy System for ON-site-imaging of algae
Jason L. Deglint, Lyndon Tang, Yitian Wang +2
This paper presents SAMSON, a Spectral Absorption-fluorescence Microscopy System for ON-site-imaging of algae within a water sample. Designed to be portable and low-cost for on-sit…
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features
Jason L. Deglint, Chao Jin, Angela Chao +1
Harmful algae blooms (HABs), which produce lethal toxins, are a growing global concern since they negatively affect the quality of drinking water and have major negative impact on…
Lensfree Spectral Light-field Fusion Microscopy for Contrast- and Resolution-enhanced Imaging of Biological Specimens
Farnoud Kazemzadeh, Chao Jin, Sara Molladavoodi +4
A lensfree spectral light-field fusion microscopy (LSLFM) system is presented for enabling contrast- and resolution-enhanced imaging of biological specimens. LSLFM consists of a pu…
Bayesian-based aberration correction and numerical diffraction for improved lensfree on-chip microscopy of biological specimens
Alexander Wong, Farnoud Kazemzadeh, Chao Jin +1
Lensfree on-chip microscopy is an emerging imaging technique that can be used to visualize and study biological specimens without the need for imaging lens systems. Important issue…