[HTML][HTML] 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 …

[HTML][HTML] Microsystem advances through integration with artificial intelligence

HF Tsai, S Podder, PY Chen - Micromachines, 2023 - mdpi.com
Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

Machine learning empowered multi-stress level electromechanical phenotyping for high-dimensional single cell analysis

M Liang, Q Tang, J Zhong, Y Ai - Biosensors and Bioelectronics, 2023 - Elsevier
Microfluidics provides a powerful platform for biological analysis by harnessing the ability to
precisely manipulate fluids and microparticles with integrated microsensors. Here, we …

Recent advances in deformation-assisted microfluidic cell sorting technologies

J Sun, X Huang, J Chen, R Xiang, X Ke, S Lin, W Xuan… - Analyst, 2023 - pubs.rsc.org
Cell sorting is an essential prerequisite for cell research and has great value in life science
and clinical studies. Among the many microfluidic cell sorting technologies, label-free …

Characterization of Cancer Cell Mechanics by Measuring Active Deformation Behavior

J Feng, Q Sun, P Chen, K Ren, Y Zhang, Y Shi… - Small …, 2024 - Wiley Online Library
Active deformation behavior reflects cell structural dynamics adapting to varying
environmental constraints during malignancy progression. In most cases, cell mechanics is …

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

SS Li, CD Xue, YJ Li, XM Chen, Y Zhao… - Electrophoresis, 2024 - Wiley Online Library
Single‐cell biophysical properties play a crucial role in regulating cellular physiological
states and functions, demonstrating significant potential in the fields of life sciences and …

Profiling oocytes with neural networks from images and mechanical data

S Lamont, J Fropier, J Abadie, E Piat… - Journal of the …, 2023 - Elsevier
The success rate of assisted reproductive technologies could be greatly improved by
selectively choosing egg cells (oocytes) with the greatest chance of fertilization. The goal of …

Deep Learning Perspectives on Surface Wettability: LSTM Predictions for Water Droplet Contact Angles

GS Meshram, S Chakraborty… - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
Surface wettability is the ability of a liquid to adhere to a solid surface, determined by the
interaction between the liquid and the solid, primarily influenced by the liquid's surface …

Statistical Micromechanics and Damage in Materials and Dynamic Networks

SC Lamont - 2024 - search.proquest.com
The mechanical behavior of a material largely reflects the culmination of numerous atomistic
and molecular interactions that underlie its microstructure. Theoretical frameworks that …

[图书][B] Machine Learning Assisted Single Cell Mechanotyping with Deformability Cytometry

DD Seith - 2022 - search.proquest.com
In this dissertation, methods for characterizing cells based on their mechanical phenotypes
are described. A novel microfluidic channel design is presented and data are gathered as …