Trends in digital image processing of isolated microalgae by incorporating classification algorithm
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 …
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 …
characterization of single cells in flow.•Camera-based imaging flow cytometers provide ultra …
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
The ability to rapidly assay morphological and intracellular molecular variations within large
heterogeneous populations of cells is essential for understanding and exploiting cellular …
heterogeneous populations of cells is essential for understanding and exploiting cellular …
Review and perspectives on microfluidic flow cytometers
Modern microflow cytometers are sophisticated instruments capable of measuring multiple
physical characteristics of a single cell simultaneously as the cells flow in suspension …
physical characteristics of a single cell simultaneously as the cells flow in suspension …
A practical guide to intelligent image-activated cell sorting
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 …
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
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 …
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
Cellular biophysical properties are the effective label‐free phenotypes indicative of
differences in cell types, states, and functions. However, current biophysical phenotyping …
differences in cell types, states, and functions. However, current biophysical phenotyping …
Automated diatom classification (Part B): a deep learning approach
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 …
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 …
effectiveness greatly promotes the progress of nondestructive single‐cell studies. Complex …
A low-cost automated digital microscopy platform for automatic identification of diatoms
Featured Application Development of a fully operative low-cost automated digital
microscope for the detection of diatoms by applying deep learning. Abstract Currently …
microscope for the detection of diatoms by applying deep learning. Abstract Currently …