Smart Multispectral Imaging Flow Cytometry
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".
Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 908
Special Issue Editors
Interests: microfluidics; lab-on-a-chip technology
Interests: imaging flow cytometry; optical sensors; biophotonics; lab-on-a-chip; microfluidics; multispectral; hyperspectral; machine learning; deep learning; AI; particle sorting; acoustophoresis
Interests: imaging flow cytometry; optical sensors; biophotonics; lab-on-a-chip; microfluidics; multispectral; hyperspectral; machine learning; deep learning; acoustophoresis
Special Issue Information
Dear Colleagues,
I am delighted to introduce this Special Issue on “Smart Multispectral Imaging Flow Cytometry”.
We encounter microparticles everywhere, and they are the foundation of living matter. Because of their diverse properties, they are valuable materials for many industries, particularly the food industry,, plant cultivation, and environmental applications. On the other hand, they can appear as pollutants, such as heavy metals and microplastics, which require reliable monitoring of their concentrations and interactions with biological systems. For example, detecting and identifying different microplastic types in aqueous solutions is a hot topic in science, society, and politics. The spectral and morphological properties of the particles are important quality parameters in many scientific questions and applications. Due to their small size, the holistic, fast, non-contact, and non-destructive characterization of particles is a challenge in fundamental research. Due to recent advances in imaging flow cytometry, this method is particularly suitable for the characterization of particles.
I invite you to publish your novel and innovative research papers, short communications, and review articles, focusing on multispectral imaging flow cytometry and related research fields. A special interest of mine is the intelligent data analysis of the measured particles in real-time using machine learning, deep learning, and AI to gain additional information about the composition of the particles at the individual particle level and/or the entire population.
This Special Issue focuses on optical sensing arrangements, microfluidic particle focusing techniques, spectral detection capabilities, applications, and data analysis methods for characterizing particles in microfluidic flow. In addition, microfluidic confinement, and manipulation of particles within the focal plane of the imaging system through, e.g., hydrodynamics and/or acoustophoresis, as well as sorting technologies that use spectral and/or geometric features for sorting decisions are highly welcome.
I am looking forward to reading your exciting contributions.
Dr. Thomas Henkel
Guest Editor
Daniel Kraus
Julia Sophie Böke
Guest Editor Assistants
Manuscript Submission Information
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Keywords
- microfluidic devices
- optical sensing
- hyper/multispectral imaging
- data analysis
- non-contact particle monitoring
- particle focusing and manipulation
- particle sorting
- applications
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