scholarly journals Combination of imaging flow cytometry and time-lapse microscopy for the study of label-free morphology dynamics of hematopoietic cells

2017 ◽  
Vol 91 (3) ◽  
pp. 254-260 ◽  
Author(s):  
Jérémie Cosette ◽  
Alice Moussy ◽  
Andras Paldi ◽  
Daniel Stockholm
Keyword(s):  
Flow Cytometry ◽  
Hematopoietic Cells ◽  
Time Lapse ◽  
Label Free ◽  
Time Lapse Microscopy ◽  
Imaging Flow Cytometry

Label free high throughput screening for apoptosis inducing chemicals using time-lapse microscopy signal processing

APOPTOSIS ◽  
2014 ◽  
Vol 19 (9) ◽  
pp. 1411-1418 ◽  
Author(s):  
Obaid Aftab ◽  
Madiha Nazir ◽  
Mårten Fryknäs ◽  
Ulf Hammerling ◽  
Rolf Larsson ◽  
...  
Keyword(s):  
Signal Processing ◽  
High Throughput ◽  
High Throughput Screening ◽  
Time Lapse ◽  
Label Free ◽  
Time Lapse Microscopy

Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples

2021 ◽  
Author(s):  
Zoltán Göröcs ◽  
David Baum ◽  
Fang Song ◽  
Kevin de Haan ◽  
Hatice Ceylan Koydemir ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Deep Learning ◽  
Water Samples ◽  
Giardia Lamblia ◽  
Label Free ◽  
Holographic Imaging ◽  
Imaging Flow Cytometry ◽  
Label Free Detection

scholarly journals Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering

2019 ◽  
Vol 116 (32) ◽  
pp. 15842-15848 ◽  
Author(s):  
Yuta Suzuki ◽  
Koya Kobayashi ◽  
Yoshifumi Wakisaka ◽  
Dinghuan Deng ◽  
Shunji Tanaka ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Raman Scattering ◽  
Cancer Biology ◽  
High Speed ◽  
Stimulated Raman Scattering ◽  
Chemical Imaging ◽  
Fluorescent Labeling ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
Stimulated Raman

Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ∼140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood.

scholarly journals Accurate label-free 3-part leukocyte recognition with single cell lens-free imaging flow cytometry

2018 ◽  
Vol 96 ◽  
pp. 147-156 ◽  
Author(s):  
Yuqian Li ◽  
Bruno Cornelis ◽  
Alexandra Dusa ◽  
Geert Vanmeerbeeck ◽  
Dries Vercruysse ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
Label Free ◽  
Imaging Flow Cytometry

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 A weakly supervised deep learning approach for label-free imaging flow-cytometry-based blood diagnostics

2021 ◽  
Vol 1 (6) ◽  
pp. 100094
Author(s):  
Corin F. Otesteanu ◽  
Martina Ugrinic ◽  
Gregor Holzner ◽  
Yun-Tsan Chang ◽  
Christina Fassnacht ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Deep Learning ◽  
Learning Approach ◽  
Label Free ◽  
Imaging Flow Cytometry ◽  
Weakly Supervised

Label-free imaging flow cytometry for phenotypic analysis of microalgae populations using deep learning

2021 ◽  
Author(s):  
Çağatay Işıl ◽  
Kevin de Haan ◽  
Zoltán Gӧrӧcs ◽  
Hatice Ceylan Koydemir ◽  
Spencer Peterman ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Deep Learning ◽  
Label Free ◽  
Phenotypic Analysis ◽  
Imaging Flow Cytometry

Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning

ACS Photonics ◽  
2021 ◽  
Author(s):  
Çaǧatay Işıl ◽  
Kevin de Haan ◽  
Zoltán Göröcs ◽  
Hatice Ceylan Koydemir ◽  
Spencer Peterman ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Deep Learning ◽  
Label Free ◽  
Phenotypic Analysis ◽  
Imaging Flow Cytometry
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