Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow

Imaging and characterizing the dynamics of cellular adhesion in blood samples is of fundamental importance in understanding biological function. In vitro microscopy methods are widely used for this task but typically require diluting the blood with a buffer to allow for transmission of light. However, whole blood provides crucial signaling cues that influence adhesion dynamics, which means that conventional approaches lack the full physiological complexity of living microvasculature. We can reliably image cell interactions in microfluidic channels during whole blood flow by motion blur microscopy (MBM) in vitro and automate image analysis using machine learning. MBM provides a low cost, easy to implement alternative to intravital microscopy, for rapid data generation where understanding cell interactions, adhesion, and motility is crucial. MBM is generalizable to studies of various diseases, including cancer, blood disorders, thrombosis, inflammatory and autoimmune diseases, as well as providing rich datasets for theoretical modeling of adhesion dynamics.

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Publication Details

Journal
Nature Communications
Published
2024-08-16
DOI
https://doi.org/10.1038/s41467-024-51014-4
Citations
3
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
0.98

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article

Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow

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3 citations
Nature Communications
Cellular Mechanics and Interactions
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article

Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow

Umut A. Gürkan, Michael Hinczewski, Utku Goreke, Brandon Shipley, Yuncheng Man, Ayesha Gonzales, William J. Wulftange, Ran An, Madeleine Tincher, Oshin Sharma
article en
3 citations

Abstract

Imaging and characterizing the dynamics of cellular adhesion in blood samples is of fundamental importance in understanding biological function. In vitro microscopy methods are widely used for this task but typically require diluting the blood with a buffer to allow for transmission of light. However, whole blood provides crucial signaling cues that influence adhesion dynamics, which means that conventional approaches lack the full physiological complexity of living microvasculature. We can reliably image cell interactions in microfluidic channels during whole blood flow by motion blur microscopy (MBM) in vitro and automate image analysis using machine learning. MBM provides a low cost, easy to implement alternative to intravital microscopy, for rapid data generation where understanding cell interactions, adhesion, and motility is crucial. MBM is generalizable to studies of various diseases, including cancer, blood disorders, thrombosis, inflammatory and autoimmune diseases, as well as providing rich datasets for theoretical modeling of adhesion dynamics.

Nature CommunicationsVol. 15(1)
Case Western Reserve University (US)
National Science Foundation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Cleveland Clinic, Case Western Reserve University, Case Comprehensive Cancer Center, Case Western Reserve University, School of Medicine, Case Western Reserve University, National Institutes of Health, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 27%
Cellular Mechanics and Interactions
0.98
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