Imaging flow cytometry in the assessment of leukocyte-platelet aggregates

Methods ◽  
2017 ◽  
Vol 112 ◽  
pp. 46-54 ◽  
Author(s):  
Henry Hui ◽  
Kathy A. Fuller ◽  
Wendy N. Erber ◽  
Matthew D. Linden
Keyword(s):  
Flow Cytometry ◽  
Imaging Flow Cytometry ◽  
Platelet Aggregates

Classification of platelet aggregates by intelligent imaging flow cytometry (Conference Presentation)

2020 ◽  
Author(s):  
Yuqi Zhou ◽  
Atsushi Yasumoto ◽  
Cheng Lei ◽  
Chun-Jung Huang ◽  
Hirofumi Kobayashi ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Imaging Flow Cytometry ◽  
Platelet Aggregates

Measurement of monocyte-platelet aggregates by imaging flow cytometry

2014 ◽  
Vol 87 (3) ◽  
pp. 273-278 ◽  
Author(s):  
Henry Hui ◽  
Kathryn Fuller ◽  
Wendy N. Erber ◽  
Matthew D. Linden
Keyword(s):  
Flow Cytometry ◽  
Imaging Flow Cytometry ◽  
Platelet Aggregates

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 Conventional, High-Resolution and Imaging Flow Cytometry: Benchmarking Performance in Characterisation of Extracellular Vesicles

Biomedicines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 124
Author(s):  
Jaco Botha ◽  
Haley R. Pugsley ◽  
Aase Handberg
Keyword(s):  
Flow Cytometry ◽  
High Resolution ◽  
Extracellular Vesicles ◽  
Single Particles ◽  
Multiple Parameters ◽  
Imaging Flow Cytometry ◽  
Highly Sensitive ◽  
Individual Project ◽  
Benchmarking Performance ◽  
High Throughput Manner

Flow cytometry remains a commonly used methodology due to its ability to characterise multiple parameters on single particles in a high-throughput manner. In order to address limitations with lacking sensitivity of conventional flow cytometry to characterise extracellular vesicles (EVs), novel, highly sensitive platforms, such as high-resolution and imaging flow cytometers, have been developed. We provided comparative benchmarks of a conventional FACS Aria III, a high-resolution Apogee A60 Micro-PLUS and the ImageStream X Mk II imaging flow cytometry platform. Nanospheres were used to systematically characterise the abilities of each platform to detect and quantify populations with different sizes, refractive indices and fluorescence properties, and the repeatability in concentration determinations was reported for each population. We evaluated the ability of the three platforms to detect different EV phenotypes in blood plasma and the intra-day, inter-day and global variabilities in determining EV concentrations. By applying this or similar methodology to characterise methods, researchers would be able to make informed decisions on choice of platforms and thereby be able to match suitable flow cytometry platforms with projects based on the needs of each individual project. This would greatly contribute to improving the robustness and reproducibility of EV studies.

scholarly journals Numbers matter: Quantitative and dynamic analysis of the formation of an immunological synapse using imaging flow cytometry

2009 ◽  
Vol 347 (1-2) ◽  
pp. 79-86 ◽  
Author(s):  
Fariyal Ahmed ◽  
Sherree Friend ◽  
Thaddeus C. George ◽  
Natasha Barteneva ◽  
Judy Lieberman
Keyword(s):  
Flow Cytometry ◽  
Dynamic Analysis ◽  
Immunological Synapse ◽  
Imaging Flow Cytometry
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