6 citations · 9 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…
Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit
Farnoud Kazemzadeh, Alexander Wong
There exists a fundamental tradeoff between spectral resolution and the efficiency or throughput for all optical spectrometers. The primary factors affecting the spectral resolutio…
Laser light-field fusion for wide-field lensfree on-chip phase contrast nanoscopy
Farnoud Kazemzadeh, Alexander Wong
Wide-field lensfree on-chip microscopy, which leverages holography principles to capture interferometric light-field encodings without lenses, is an emerging imaging modality with…