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Model biomembrane systems play a crucial role in advancing biomedical research by providing simplified yet effective platforms for exploring complex biological mechanisms. These systems span a wide range of scales, from…

Soft Condensed Matter · Physics 2025-10-01 Ajit Seth , Sajal K. Ghosh , Veerendra K. Sharma

Surface assays such as ELISA are pervasive in clinics and research and predominantly standardized in microtiter plates (MTP). MTPs provide many advantages but are often detrimental to surface assay efficiency due to inherent mass transport…

Biomolecules · Quantitative Biology 2022-02-08 Iago Pereiro , Anna Fomitcheva Khartchenko , Robert D. Lovchik , Govind V. Kaigala

Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug…

Artificial Intelligence · Computer Science 2023-07-14 Catrin Hasselgren , Tudor I. Oprea

In the past 40 years, single-molecule techniques have been rapidly developed and widely applied in numerous fields of biology researches, offering new insights that conventional biochemical assays cannot discover. In this review, to help…

Biological Physics · Physics 2025-07-18 Huang Tang , Shuting Liu , Chenyue Kang , Xiang Wang , Xi Zhang , Kun Li , Gege Duan , Zheng Li , Boyang Hua

Small volume fluid handling in single and multiphase microfluidics provides a promising strategy for efficient bio-chemical assays, low-cost point-of-care diagnostics and new approaches to scientific discoveries. However multiple barriers…

Instrumentation and Detectors · Physics 2015-06-22 George Korir , Manu Prakash

Mehmet Toner is the Helen Andrus Benedict Professor of Biomedical Engineering at the Massachusetts General Hospital (MGH), Harvard Medical School, and Harvard - MIT Health Sciences & Technology. Here he describes his labs efforts to advance…

Fluid Dynamics · Physics 2018-02-16 Mehmet Toner

Microfluidic devices manufactured from soft polymeric materials have emerged as a paradigm for cheap, disposable and easy-to-prototype fluidic platforms for integrating chemical and biological assays and analyses. The interplay between the…

Soft Condensed Matter · Physics 2021-11-25 Ivan C. Christov

Selection of solution concentrations and flow rates for the fabrication of microfibers using a microfluidic device is a largely empirical endeavor of trial-and-error, largely due to the difficulty of modeling such a multiphysics process.…

Gene expression is a complex phenomenon involving numerous interlinked variables, and studying these variables to control expression is essential in bioengineering and biomanufacturing. While cloning techniques for achieving plasmid…

Quantitative Methods · Quantitative Biology 2025-01-30 Khushank Singhal , Harry Adamson , Thomas Baer , Howard Salis , Melik Demirel

In the modern world, technology is at its peak. Different avenues in programming and technology have been explored for data analysis, automation, and robotics. Machine learning is key to optimize data analysis, make accurate predictions,…

Subcellular Processes · Quantitative Biology 2023-10-18 Akshay Bhalla , Suraj Rajendran

Scientists perform diverse manual procedures that are tedious and laborious. Such procedures are considered a bottleneck for modern experimental science, as they consume time and increase burdens in fields including material science and…

Microfluidic valves play a key role within microfluidic systems by regulating fluid flow through distinct microchannels, enabling many advanced applications in medical diagnostics, lab-on-chips, and laboratory automation. While microfluidic…

Materials Science · Physics 2023-12-19 Tinku Supakar , David Space , Sophy Meija , Rou Yu Tan , Jeffrey R. Alston , Eric A. Josephs

Label-free detecting multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications. Yet, for all-optical approaches, interfacing state-of-the-art label-free techniques with microfluidics…

Quantitative Methods · Quantitative Biology 2023-08-14 Alexia Stollmann , Jose Garcia-Guirado , Jae-Sang Hong , Hyungsoon Im , Hakho Lee , Jaime Ortega Arroyo , Romain Quidant

Molecular Communications (MC), transferring information via chemical signals, holds promise for transformative healthcare applications within the Internet of Bio-Nano Things (IoBNT) framework. Despite promising advances toward practical MC…

Emerging Technologies · Computer Science 2025-02-03 Maide Miray Albay , Eren Akyol , Fariborz Mirlou , Levent Beker , Murat Kuscu

In this study, capillary-driven flow of different pure liquids and diluted bitumen samples were studied using microfluidic channel (width of 30 um and depth of 9 um). Capillary filling kinetics of liquids as a function of time were…

Soft Condensed Matter · Physics 2016-12-01 Kiarash Keshmiri , Saeed Mozaffari , Plamen Tchoukov , Haibo Huang , Neda Nazemifard

Advances in high-throughput sequencing technologies and bioinformatics approaches over almost the last three decades have substantially increased our ability to explore microorganisms and their functions-including those that have yet to be…

A new type of microfluidic system for biological cell manipulation, a CMOS/microfluidic hybrid, is demonstrated. The hybrid system starts with a custom-designed CMOS (complementary metal-oxide semiconductor) chip fabricated in a…

Quantitative Methods · Quantitative Biology 2007-05-23 Hakho Lee , Yong Liu , Donhee Ham , Robert M. Westervelt

This comprehensive review discusses the development of scanning electron microscopy and the application of this technology in different fields such as biology, nanobiotechnology and biomedical science. Besides being a tool for high…

Quantitative Methods · Quantitative Biology 2023-11-02 Aniruddha Acharya

Over the past decade, advances in generative modeling, such as generative adversarial networks, masked autoencoders, and diffusion models, have significantly transformed biological research and discovery, enabling breakthroughs in molecule…

Machine Learning · Computer Science 2026-03-10 Zihao Li , Zhichen Zeng , Xiao Lin , Feihao Fang , Yanru Qu , Zhe Xu , Zhining Liu , Xuying Ning , Tianxin Wei , Ge Liu , Hanghang Tong , Jingrui He

Series of short contributions that are part of Nobel Symposium 162 - Microfluidics arXiv:1712.08369.