Imaging flow cytometry

P Rees, HD Summers, A Filby, AE Carpenter… - Nature Reviews …, 2022 - nature.com
Imaging flow cytometry combines the high-event-rate nature of flow cytometry with the
advantages of single-cell image acquisition associated with microscopy. The measurement …

Label-free microfluidic cell sorting and detection for rapid blood analysis

N Lu, HM Tay, C Petchakup, L He, L Gong, KK Maw… - Lab on a Chip, 2023 - pubs.rsc.org
Blood tests are considered as standard clinical procedures to screen for markers of diseases
and health conditions. However, the complex cellular background (> 99.9% RBCs) and …

Physical phenotype of blood cells is altered in COVID-19

M Kubánková, B Hohberger, J Hoffmanns, J Fürst… - Biophysical journal, 2021 - cell.com
Clinical syndrome coronavirus disease 2019 (COVID-19) induced by severe acute
respiratory syndrome coronavirus 2 is characterized by rapid spreading and high mortality …

Flow cytometry: principles, applications and recent advances

SM Manohar, P Shah, A Nair - Bioanalysis, 2021 - Taylor & Francis
Flow cytometry (FCM) is a sophisticated technique that works on the principle of light
scattering and fluorescence emission by the specific fluorescent probe-labeled cells as they …

AI on a chip

A Isozaki, J Harmon, Y Zhou, S Li, Y Nakagawa… - Lab on a Chip, 2020 - pubs.rsc.org
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

Recent advances of utilizing artificial intelligence in lab on a chip for diagnosis and treatment

S Zare Harofte, M Soltani, S Siavashy, K Raahemifar - Small, 2022 - Wiley Online Library
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …

Computer vision meets microfluidics: a label-free method for high-throughput cell analysis

S Zhou, B Chen, ES Fu, H Yan - Microsystems & Nanoengineering, 2023 - nature.com
In this paper, we review the integration of microfluidic chips and computer vision, which has
great potential to advance research in the life sciences and biology, particularly in the …

Mechanical properties of single cells: Measurement methods and applications

Y Hao, S Cheng, Y Tanaka, Y Hosokawa… - Biotechnology …, 2020 - Elsevier
Cell mechanical properties, eg elastic and shear modulus, play vital roles in cell activities
and functions, such as cell growth, cell division, cell motion, and cell adhesion …

Acoustofluidic rotational tweezing enables high-speed contactless morphological phenotyping of zebrafish larvae

C Chen, Y Gu, J Philippe, P Zhang, H Bachman… - Nature …, 2021 - nature.com
Modern biomedical research and preclinical pharmaceutical development rely heavily on
the phenotyping of small vertebrate models for various diseases prior to human testing. In …

Droplet based microfluidics integrated with machine learning

S Srikanth, SK Dubey, A Javed, S Goel - Sensors and Actuators A: Physical, 2021 - Elsevier
Droplet based microfluidics (DBMF) has gained huge recognition in the recent years for
performing micro-reactions in droplets with high throughput, sensitivity, specificity and …