The role of machine learning to boost the bioenergy and biofuels conversion

Z Wang, X Peng, A Xia, AA Shah, Y Huang, X Zhu… - Bioresource …, 2022 - Elsevier
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …

[HTML][HTML] Machine learning for microfluidic design and control

D McIntyre, A Lashkaripour, P Fordyce, D Densmore - Lab on a Chip, 2022 - pubs.rsc.org
Microfluidics has developed into a mature field with applications across science and
engineering, having particular commercial success in molecular diagnostics, next …

[HTML][HTML] High-throughput microbial culturomics using automation and machine learning

Y Huang, RU Sheth, S Zhao, LA Cohen… - Nature …, 2023 - nature.com
Pure bacterial cultures remain essential for detailed experimental and mechanistic studies in
microbiome research, and traditional methods to isolate individual bacteria from complex …

[HTML][HTML] Raman image-activated cell sorting

N Nitta, T Iino, A Isozaki, M Yamagishi… - Nature …, 2020 - nature.com
The advent of image-activated cell sorting and imaging-based cell picking has advanced our
knowledge and exploitation of biological systems in the last decade. Unfortunately, they …

Plasmonic optical tweezers for particle manipulation: principles, methods, and applications

Y Ren, Q Chen, M He, X Zhang, H Qi, Y Yan - ACS nano, 2021 - ACS Publications
Inspired by the idea of combining conventional optical tweezers with plasmonic
nanostructures, a technique named plasmonic optical tweezers (POT) has been widely …

Intelligent image-activated cell sorting 2.0

A Isozaki, H Mikami, H Tezuka, H Matsumura… - Lab on a Chip, 2020 - pubs.rsc.org
The advent of intelligent image-activated cell sorting (iIACS) has enabled high-throughput
intelligent image-based sorting of single live cells from heterogeneous populations. iIACS is …

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 …

Microalgae identification: Future of image processing and digital algorithm

JWR Chong, KS Khoo, KW Chew, DVN Vo… - Bioresource …, 2023 - Elsevier
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …

NF-κB dynamics in the language of immune cells

M Aqdas, MH Sung - Trends in immunology, 2023 - cell.com
Biological discovery has been driven by advances in throughput and resolution of analysis
technologies. They have also created an indelible bias for snapshot-based knowledge …

[HTML][HTML] Virtual-freezing fluorescence imaging flow cytometry

H Mikami, M Kawaguchi, CJ Huang… - Nature …, 2020 - nature.com
By virtue of the combined merits of flow cytometry and fluorescence microscopy, imaging
flow cytometry (IFC) has become an established tool for cell analysis in diverse biomedical …