The role of machine learning to boost the bioenergy and biofuels conversion
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 …
a significant role for the production of renewable and sustainable energy sources in the …
[HTML][HTML] Machine learning for microfluidic design and control
Microfluidics has developed into a mature field with applications across science and
engineering, having particular commercial success in molecular diagnostics, next …
engineering, having particular commercial success in molecular diagnostics, next …
[HTML][HTML] High-throughput microbial culturomics using automation and machine learning
Pure bacterial cultures remain essential for detailed experimental and mechanistic studies in
microbiome research, and traditional methods to isolate individual bacteria from complex …
microbiome research, and traditional methods to isolate individual bacteria from complex …
[HTML][HTML] Raman image-activated cell sorting
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 …
knowledge and exploitation of biological systems in the last decade. Unfortunately, they …
Plasmonic optical tweezers for particle manipulation: principles, methods, and applications
Inspired by the idea of combining conventional optical tweezers with plasmonic
nanostructures, a technique named plasmonic optical tweezers (POT) has been widely …
nanostructures, a technique named plasmonic optical tweezers (POT) has been widely …
Intelligent image-activated cell sorting 2.0
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 …
intelligent image-based sorting of single live cells from heterogeneous populations. iIACS is …
AI on a chip
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …
defence, and medicine in the last several years. Supported by considerably enhanced …
Microalgae identification: Future of image processing and digital algorithm
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
NF-κB dynamics in the language of immune cells
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 …
technologies. They have also created an indelible bias for snapshot-based knowledge …
[HTML][HTML] Virtual-freezing fluorescence imaging flow cytometry
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 …
flow cytometry (IFC) has become an established tool for cell analysis in diverse biomedical …