scholarly journals High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplankton

2016 ◽  
Vol 24 (25) ◽  
pp. 28170 ◽  
Author(s):  
Queenie T. K. Lai ◽  
Kelvin C. M. Lee ◽  
Anson H. L. Tang ◽  
Kenneth K. Y. Wong ◽  
Hayden K. H. So ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Throughput Time ◽  
Imaging Flow Cytometry ◽  
Multi Class Classification

scholarly journals Semi-automated classification of colonial Microcystis by FlowCAM imaging flow cytometry in mesocosm experiment reveals high heterogeneity during seasonal bloom

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yersultan Mirasbekov ◽  
Adina Zhumakhanova ◽  
Almira Zhantuyakova ◽  
Kuanysh Sarkytbayev ◽  
Dmitry V. Malashenkov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Flow Cytometry ◽  
Spatial Resolution ◽  
Mesocosm Experiment ◽  
Imaging Flow Cytometry ◽  
Leibler Divergence ◽  
Temporal And Spatial ◽  
High Level ◽  
Training Sets

AbstractA machine learning approach was employed to detect and quantify Microcystis colonial morphospecies using FlowCAM-based imaging flow cytometry. The system was trained and tested using samples from a long-term mesocosm experiment (LMWE, Central Jutland, Denmark). The statistical validation of the classification approaches was performed using Hellinger distances, Bray–Curtis dissimilarity, and Kullback–Leibler divergence. The semi-automatic classification based on well-balanced training sets from Microcystis seasonal bloom provided a high level of intergeneric accuracy (96–100%) but relatively low intrageneric accuracy (67–78%). Our results provide a proof-of-concept of how machine learning approaches can be applied to analyze the colonial microalgae. This approach allowed to evaluate Microcystis seasonal bloom in individual mesocosms with high level of temporal and spatial resolution. The observation that some Microcystis morphotypes completely disappeared and re-appeared along the mesocosm experiment timeline supports the hypothesis of the main transition pathways of colonial Microcystis morphoforms. We demonstrated that significant changes in the training sets with colonial images required for accurate classification of Microcystis spp. from time points differed by only two weeks due to Microcystis high phenotypic heterogeneity during the bloom. We conclude that automatic methods not only allow a performance level of human taxonomist, and thus be a valuable time-saving tool in the routine-like identification of colonial phytoplankton taxa, but also can be applied to increase temporal and spatial resolution of the study.

scholarly journals High-throughput multiparametric imaging flow cytometry: toward diffraction-limited sub-cellular detection and monitoring of sub-cellular processes

Cell Reports ◽  
2021 ◽  
Vol 34 (10) ◽  
pp. 108824
Author(s):  
Gregor Holzner ◽  
Bogdan Mateescu ◽  
Daniel van Leeuwen ◽  
Gea Cereghetti ◽  
Reinhard Dechant ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Multiparametric Imaging ◽  
Cellular Processes ◽  
Imaging Flow Cytometry

scholarly journals High‐Throughput Particle Uptake Analysis by Imaging Flow Cytometry

2017 ◽  
Vol 80 (1) ◽  
Author(s):  
Asya Smirnov ◽  
Michael D. Solga ◽  
Joanne Lannigan ◽  
Alison K. Criss
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Particle Uptake ◽  
Imaging Flow Cytometry

Optofluidic time-stretch imaging – an emerging tool for high-throughput imaging flow cytometry

Lab on a Chip ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1743-1756 ◽  
Author(s):  
Andy K. S. Lau ◽  
Ho Cheung Shum ◽  
Kenneth K. Y. Wong ◽  
Kevin K. Tsia
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
High Throughput ◽  
Cell Imaging ◽  
Imaging Flow Cytometry ◽  
Single Cell Imaging ◽  
Optical Time ◽  
High Throughput Imaging

Optical time-stretch imaging is now proven for ultrahigh-throughput optofluidic single-cell imaging, at least 10–100 times faster.

scholarly journals Label Free Identification of Peripheral Blood Eosinophils Using High-Throughput Imaging Flow Cytometry

2017 ◽  
Vol 139 (2) ◽  
pp. AB163
Author(s):  
Justyna Piasecka ◽  
Holger Hennig ◽  
Fabian J. Theis ◽  
Paul Rees ◽  
Huw D. Summers ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Peripheral Blood ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
Blood Eosinophils ◽  
High Throughput Imaging

scholarly journals High-Throughput Multi-parametric Imaging Flow Cytometry

Chem ◽  
2017 ◽  
Vol 3 (4) ◽  
pp. 588-602 ◽  
Author(s):  
Anandkumar S. Rane ◽  
Justina Rutkauskaite ◽  
Andrew deMello ◽  
Stavros Stavrakis
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Parametric Imaging ◽  
Imaging Flow Cytometry
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