Cell elasticity measurement and sorting based on microfluidic techniques: Advances and applications
Biosensors and Bioelectronics, ISSN: 0956-5663, Vol: 271, Page: 116985
2025
- 3Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures3
- Readers3
Review Description
Cell elasticity serves as a crucial physical biomarker that reflects changes in cellular structures and physiological states, providing key insights into cell behaviors. It links mechanical properties to biological function, highlighting its importance for understanding cell health and advancing biomedical research. Microfluidic technologies, with their capabilities for precise manipulation and high-throughput analysis, have significantly advanced the measurement of cell elasticity and elasticity-based cell sorting. This paper presents a comprehensive overview of advanced microsystems for assessing cell elasticity, discussing their advantages and limitations. The biomedical applications of elasticity-based sorting are highlighted, including cell classification, clinical diagnosis, drug screening, and stem cell differentiation prediction. The paper addresses the current challenges in the field, such as limited measurement efficiency and scalability, and explores future research directions, including the development of automated, high-throughput systems and the integration of elasticity measurements into practical biomedical applications. These advancements aim to deepen our understanding of cellular mechanics, improve diagnostic precision, and foster the development of novel therapeutic strategies. Ultimately, this work emphasizes the potential of cell elasticity as a key parameter in advancing disease diagnosis and therapeutic research.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0956566324009928; http://dx.doi.org/10.1016/j.bios.2024.116985; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85211031875&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/39642532; https://linkinghub.elsevier.com/retrieve/pii/S0956566324009928
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know