Trends in digital image processing of isolated microalgae by incorporating classification algorithm

JWR Chong, KS Khoo, KW Chew, HY Ting… - Biotechnology …, 2023 - Elsevier
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

High-throughput microfluidic imaging flow cytometry

S Stavrakis, G Holzner, J Choo, A DeMello - Current opinion in …, 2019 - Elsevier
Highlights•Microfluidic strategies for cell focusing are beneficial for the precise and accurate
characterization of single cells in flow.•Camera-based imaging flow cytometers provide ultra …

High-throughput imaging flow cytometry by optofluidic time-stretch microscopy

C Lei, H Kobayashi, Y Wu, M Li, A Isozaki… - Nature protocols, 2018 - nature.com
The ability to rapidly assay morphological and intracellular molecular variations within large
heterogeneous populations of cells is essential for understanding and exploiting cellular …

Review and perspectives on microfluidic flow cytometers

RJ Yang, LM Fu, HH Hou - Sensors and Actuators B: Chemical, 2018 - Elsevier
Modern microflow cytometers are sophisticated instruments capable of measuring multiple
physical characteristics of a single cell simultaneously as the cells flow in suspension …

A practical guide to intelligent image-activated cell sorting

A Isozaki, H Mikami, K Hiramatsu, S Sakuma, Y Kasai… - Nature protocols, 2019 - nature.com
Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that
performs real-time intelligent image-based sorting of single cells with high throughput. iIACS …

Large-scale multi-class image-based cell classification with deep learning

N Meng, EY Lam, KK Tsia… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Recent advances in ultra-high-throughput microscopy have enabled a new generation of
cell classification methodologies using image-based cell phenotypes alone. In contrast to …

Quantitative phase imaging flow cytometry for ultra‐large‐scale single‐cell biophysical phenotyping

KCM Lee, M Wang, KSE Cheah, GCF Chan… - Cytometry Part …, 2019 - Wiley Online Library
Cellular biophysical properties are the effective label‐free phenotypes indicative of
differences in cell types, states, and functions. However, current biophysical phenotyping …

Automated diatom classification (Part B): a deep learning approach

A Pedraza, G Bueno, O Deniz, G Cristóbal, S Blanco… - Applied Sciences, 2017 - mdpi.com
Diatoms, a kind of algae microorganisms with several species, are quite useful for water
quality determination, one of the hottest topics in applied biology nowadays. At the same …

Deep learning‐based single‐cell optical image studies

J Sun, A Tárnok, X Su - Cytometry Part A, 2020 - Wiley Online Library
Optical imaging technology that has the advantages of high sensitivity and cost‐
effectiveness greatly promotes the progress of nondestructive single‐cell studies. Complex …

A low-cost automated digital microscopy platform for automatic identification of diatoms

J Salido, C Sánchez, J Ruiz-Santaquiteria… - Applied Sciences, 2020 - mdpi.com
Featured Application Development of a fully operative low-cost automated digital
microscope for the detection of diatoms by applying deep learning. Abstract Currently …