Label-free on chip quality assessment of cellular blood products using real-time deformability cytometry

Lab on a Chip ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 2306-2316 ◽  
Author(s):  
Konstanze Aurich ◽  
Bob Fregin ◽  
Raghavendra Palankar ◽  
Jan Wesche ◽  
Oliver Hartwich ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Quality Assessment ◽  
Real Time ◽  
Blood Cells ◽  
Label Free ◽  
Blood Products ◽  
Chip Quality ◽  
On Chip ◽  
Deformability Cytometry

Real-time deformability cytometry is a unique tool for quality assessment of therapeutic blood cells utilizing their mechanical properties.

scholarly journals Using real-time fluorescence and deformability cytometry and deep learning to transfer molecular specificity to label-free sorting

2019 ◽  
Author(s):  
Ahmad Ahsan Nawaz ◽  
Marta Urbanska ◽  
Maik Herbig ◽  
Martin Nötzel ◽  
Martin Kräter ◽  
...  
Keyword(s):  
Real Time ◽  
Acoustic Waves ◽  
Blood Cells ◽  
Surface Acoustic Waves ◽  
Microfluidic Channel ◽  
Cell Types ◽  
Biological Research ◽  
Label Free ◽  
Molecular Specificity ◽  
Deformability Cytometry

The identification and separation of specific cells from heterogeneous populations is an essential prerequisite for further analysis or use. Conventional passive and active separation approaches rely on fluorescent or magnetic tags introduced to the cells of interest through molecular markers. Such labeling is time- and cost-intensive, can alter cellular properties, and might be incompatible with subsequent use, for example, in transplantation. Alternative label-free approaches utilizing morphological or mechanical features are attractive, but lack molecular specificity. Here we combine image-based real-time fluorescence and deformability cytometry (RT-FDC) with downstream cell sorting using standing surface acoustic waves (SSAW). We demonstrate basic sorting capabilities of the device by separating cell mimics and blood cell types based on fluorescence as well as deformability and other image parameters. The identification of blood sub-populations is enhanced by flow alignment and deformation of cells in the microfluidic channel constriction. In addition, the classification of blood cells using established fluorescence-based markers provides hundreds of thousands of labeled cell images used to train a deep neural network. The trained algorithm, with latency optimized to below 1 ms, is then used to identify and sort unlabeled blood cells at rates of 100 cells/sec. This approach transfers molecular specificity into label-free sorting and opens up new possibilities for basic biological research and clinical therapeutic applications.

scholarly journals Label-free Isolation and Single Cell Biophysical Phenotyping Analysis of Primary Cardiomyocytes Using Inertial Microfluidics

2020 ◽  
Author(s):  
Hossein Tavassoli ◽  
Prunella Rorimpandey ◽  
Young Chan Kang ◽  
Michael Carnell ◽  
Chris Brownlee ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Single Cell ◽  
Real Time ◽  
Cell Types ◽  
Label Free ◽  
Inertial Microfluidics ◽  
And Function ◽  
Deformability Cytometry

AbstractTo advance our understanding of cardiomyocyte identity and function, we need appropriate tools to isolate pure primary cardiomyocytes. We have developed a label-free method to purify viable cardiomyocytes from mouse neonatal hearts using a simple inertial microfluidics biochip. Cardiomyocytes were sorted from neonatal hearts and isolated to >90% purity and their physico-mechanical properties were evaluated using real time deformability cytometry. Purified cardiomyocytes were viable and retained their identity and function as depicted by expression of cardiac specific markers and contractility. Furthermore, we showed that cardiomyocytes have a distinct physico-mechanical phenotype that could be used as an intrinsic biophysical marker to distinguish these cells from other cell types within the heart. Taken together, this cardiomyocyte isolation and phenotyping method could serve as a valuable tool to progress our understanding of cardiomyocyte identity and function, which will ultimately benefit many diagnostic development and cardiac treatment studies.

scholarly journals Real time and label-free analysis of cellular activity on chip

2009 ◽  
Author(s):  
S. Milgram ◽  
T. Livache ◽  
Y. Roupioz ◽  
S. Cortes ◽  
M-B. Villiers ◽  
...  
Keyword(s):  
Real Time ◽  
Cellular Activity ◽  
Label Free ◽  
On Chip

Real-Time Deformability Cytometry: Label-Free Functional Characterization of Cells

2017 ◽  
pp. 347-369 ◽  
Author(s):  
Maik Herbig ◽  
Martin Kräter ◽  
Katarzyna Plak ◽  
Paul Müller ◽  
Jochen Guck ◽  
...  
Keyword(s):  
Real Time ◽  
Functional Characterization ◽  
Label Free ◽  
Deformability Cytometry

scholarly journals Real-time fluorescence and deformability cytometry — flow cytometry goes mechanics

2017 ◽  
Author(s):  
Philipp Rosendahl ◽  
Katarzyna Plak ◽  
Angela Jacobi ◽  
Martin Kraeter ◽  
Nicole Toepfner ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Molecular Markers ◽  
Real Time ◽  
Mechanical Characterization ◽  
Rnai Screen ◽  
Label Free ◽  
New Research ◽  
Deformability Cytometry ◽  
Mitotic Cells

AbstractCell mechanical characterization has recently approached the throughput of conventional flow cytometers. However, this very sensitive, label-free approach still lacks the specificity of molecular markers. Here we combine real-time 1D-imaging fluorescence and deformability cytometry (RT-FDC) to merge the two worlds in one instrument — opening many new research avenues. We demonstrate its utility using sub-cellular fluorescence localization to identify mitotic cells and test for their mechanical changes in an RNAi screen.

Numerical Simulation of Real-Time Deformability Cytometry To Extract Cell Mechanical Properties

2017 ◽  
Vol 3 (11) ◽  
pp. 2962-2973 ◽  
Author(s):  
M. Mokbel ◽  
D. Mokbel ◽  
A. Mietke ◽  
N. Träber ◽  
S. Girardo ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Numerical Simulation ◽  
Real Time ◽  
Cell Mechanical Properties ◽  
Deformability Cytometry

scholarly journals Photoacoustic Flow Cytometry for Single Sickle Cell DetectionIn VitroandIn Vivo

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Chengzhong Cai ◽  
Dmitry A. Nedosekin ◽  
Yulian A. Menyaev ◽  
Mustafa Sarimollaoglu ◽  
Mikhail A. Proskurnin ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Red Blood Cells ◽  
Real Time ◽  
Sickle Cell ◽  
Blood Cells ◽  
Label Free ◽  
Linear Mode ◽  
Signal Fluctuation

Control of sickle cell disease (SCD) stage and treatment efficiency are still time-consuming which makes well-timed prevention of SCD crisis difficult. We show here thatin vivophotoacoustic (PA) flow cytometry (PAFC) has a potential for real-time monitoring of circulating sickled cells in mouse model.In vivodata were verified byin vitroPAFC and photothermal (PT) and PA spectral imaging of sickle red blood cells (sRBCs) expressing SCD-associated hemoglobin (HbS) compared to normal red blood cells (nRBCs). We discovered that PT and PA signal amplitudes from sRBCs in linear mode were 2–4-fold lower than those from nRBCs. PT and PA imaging revealed more profound spatial hemoglobin heterogeneity in sRBCs than in nRBCs, which can be associated with the presence of HbS clusters with high local absorption. This hypothesis was confirmed in nonlinear mode through nanobubble formation around overheated HbS clusters accompanied by spatially selective signal amplification. More profound differences in absorption of sRBCs than in nRBCs led to notable increase in PA signal fluctuation (fluctuation PAFC mode) as an indicator of SCD. The obtained data suggest that noninvasive label-free fluctuation PAFC has a potential for real-time enumeration of sRBCs bothin vitroandin vivo.

scholarly journals Label-free, real-time on-chip sensing of living cancer cell via grating-coupled surface plasmon resonance

2019 ◽  
Author(s):  
Giulia Borile ◽  
Stefano Rossi ◽  
Andrea Filippi ◽  
Enrico Gazzola ◽  
Pietro Capaldo ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Real Time ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Cell Number ◽  
Label Free ◽  
Cellular Processes ◽  
Spr Sensor ◽  
Microfluidic Chamber ◽  
On Chip

ABSTRACTThe application of nanotechnologies to address biomedical questions is a key strategy for innovation in biomedical research. Among others, a key point consists in the availability of nanotechnologies for monitoring cellular processes in a real-time and label-free approach. Here, we focused on a grating-coupled Surface Plasmon Resonance (GC-SPR) sensor exploiting phase interrogation. This sensor can be integrated in a microfluidic chamber that ensures cell viability and avoids cell stress. We report the calibration of the sensor response as a function of cell number and its application to monitor cell adhesion kinetics as well as cell response to an external stimulus. Our results show that GC-SPR sensors can offer a valuable alternative to prism-coupled or imaging SPR devices, amenable for microfluidic implementation.

Label-free, real-time on-chip sensing of living cells via grating-coupled surface plasmon resonance

2019 ◽  
Vol 254 ◽  
pp. 106262 ◽  
Author(s):  
Giulia Borile ◽  
Stefano Rossi ◽  
Andrea Filippi ◽  
Enrico Gazzola ◽  
Pietro Capaldo ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Real Time ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Living Cells ◽  
Label Free ◽  
On Chip
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