Neuromorphic-enabled video-activated cell sorting

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 30, 2024

Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition. However, existing IACS frameworks suffer from the challenges of 3D information loss processing latency dilemma real-time operation. Herein, we establish a neuromorphic-enabled video-activated sorter (NEVACS) framework, designed to achieve high-dimensional spatiotemporal characterization content alongside high-throughput particles wide field view. NEVACS adopts event camera, CPU, spiking neural networks deployed on neuromorphic chip, achieves throughput 1000 cells/s relatively economic hybrid hardware solution (~$10 K for control) simple-to-make-and-use microfluidic infrastructures. Particularly, application classifying regular red blood cells blood-disease-relevant spherocytes highlights accuracy using video over single frame (i.e., average error 0.99% vs 19.93%), indicating NEVACS' potential morphology screening disease diagnosis.

Language: Английский

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Automated and Miniaturized Pico-Liter Metabolite Extraction System for Single-Cell Mass Spectrometry

IEEE Transactions on Biomedical Engineering, Journal Year: 2022, Volume and Issue: 70(2), P. 470 - 478

Published: July 27, 2022

Mass spectrometry has become the method of choice for single cell analysis due to its high sensitivity detection and capability in analyzing a large number metabolites simultaneously. For long time, an automated miniaturized system capable extracting cellular contents from cells at pico-liter level pico-ESI been lacking.This paper presents first-of-its-kind extraction single-cell MS. The key modules, including imaging, bus controller, fluidic driving are customized achieve satisfactory performance affordable costs, resulting movable on trolley connectable with To enable automation, trapping device, new image-based one-pixel accuracy positioning methods micropipette, surface-tension-based 1-pL volume control scheme developed.The is able solvent loading 1.97 ± 0.05 nL, dispensing 14-15 pL, evaporation 689±48 pL. MS experiments demonstrate throughput 20 cells/h.The achieved better consistency (∼21%), (∼28%), success rate (up 40%) than manual operation.This lays solid basis applying high-throughput analysis, such as metabolomics lipidomics.

Language: Английский

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An Effective Recognition Method for Particle Coincidence in Double Differential Impedance Cytometry

IEEE Sensors Journal, Journal Year: 2023, Volume and Issue: 23(16), P. 18070 - 18080

Published: July 14, 2023

As a label-free single cell analysis approach, impedance flow cytometry provides valuable information by differential signals. However, for high throughput purpose, particle coincidence is inevitable especially when the concentration or pumping rate too high. In this work, we proposed first numerical model and novel method coincidence. To investigate multiparticle events, double sensor used. From statistic of signal peaks, could determine threshold events then read out numbers. Compared with customized threshold, data-driven cutoff line fundamentally improves accuracy recognition. Herein, key operation parameters that influence including sample concentration, driven pressure (stands rate), configuration are elucidated. Moreover, guide to best practices avoid suggested real applications.

Language: Английский

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Machine learning implementation strategy in imaging and impedance flow cytometry

Biomicrofluidics, Journal Year: 2023, Volume and Issue: 17(5)

Published: Sept. 1, 2023

Imaging and impedance flow cytometry is a label-free technique that has shown promise as potential replacement for standard cytometry. This due to its ability provide rich information archive high-throughput analysis. Recently, significant efforts have been made leverage machine learning processing the abundant data generated by those techniques, enabling rapid accurate Harnessing power of learning, imaging demonstrated capability address various complex phenotyping scenarios. Herein, we present comprehensive overview detailed strategies implementing in We initiate discussion outlining commonly employed setup acquire (i.e., image or signal) from cell. Subsequently, delve into necessary processes extracting features acquired signal data. Finally, discuss how these can be utilized cell through application algorithms. Furthermore, existing challenges insights future perspectives intelligent

Language: Английский

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Microfluidic characterization of single‐cell biophysical properties and the applications in cancer diagnosis

Electrophoresis, Journal Year: 2023, Volume and Issue: 45(13-14), P. 1212 - 1232

Published: Nov. 1, 2023

Abstract Single‐cell biophysical properties play a crucial role in regulating cellular physiological states and functions, demonstrating significant potential the fields of life sciences clinical diagnostics. Therefore, over last few decades, researchers have developed various detection tools to explore relationship between changes biological cells human diseases. With rapid advancement modern microfabrication technology, microfluidic devices quickly emerged as promising platform for single‐cell analysis offering advantages including high‐throughput, exceptional precision, ease manipulation. Consequently, this paper provides an overview recent advances systems their applications field cancer. The working principles latest research progress property are first analyzed, highlighting significance electrical mechanical properties. development data acquisition processing methods real‐time, practical then discussed. Furthermore, differences tumor normal outlined, illustrating utilizing cell identification, classification, drug response assessment. Lastly, we summarize limitations existing properties, while also pointing out prospects future directions cancer diagnosis treatment.

Language: Английский

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