Optical microscopy (OM) is widely used in life science due to the merits of non-invasion, fast speed, and comprehensiveness. During the last decades, fluorescence probes with the features of photoswitchable, light resistance, high fluorescence yield, and low phototoxic have been developed. Optical super-resolution microscopic approaches, including single-molecule localization microscopy (SMLM), stimulated emission depletion (STED) microscopy, and structured illumination microscopy (SIM) have been invented, beating the Abbe diffraction limit presented on light microscopes. Recently, the performance of OM has been enhanced by the emergence of advanced devices like ferroelectric liquid crystal spatial light modulators (SLM), 2K/4K digital micromirror devices (DMD), high-power LED light, resonance scanning Galvano mirrors, and sensitive scientific CMOS (sCMOS) cameras. Moreover, new optical schemes, such as structured light illumination, vector beam focusing, and light-matter interaction, have been proposed to enhance the spatial resolution of OM. Rapid and robust image reconstruction algorithms, such as deep learning convolution neural networks and GPU parallel accelerated computing, are introduced with open-source codes and software. With the assistance of novel nanoprobes, such as plasmonic nanoprobes and fluorescence nanoprobes, OM has been applied to visualize the subcellular structures and intracellular events like the growth and shrinkage dynamics of microtubes and endoplasmic reticulum (ER) interaction with microtubes and mitochondria, as well as molecular-molecular interactions. The efforts from optics, chemistry, computer science, and biomedical demands promote OM to become more functional, lower costly, and easier to use.
This call of paper relates to the latest advances, trends, and applications of OM, including fluorescent probes, variants of OM techniques, applications of OM, and so on. Papers are solicited on, but not limited to following topics:
• New optical super-resolution microscopy
• 3D microscopy
• Special beams for optical microscopy
• Confocal/optical sectioning microscopy
• New devices used in optical microscopy
• Fluorescence probes for optical microscopy
• Multi-color/Full-color optical microscopy
• Microscopic image reconstruction algorithms
• Multimode optical microscopy
• Optical microscopy for polarized/thick samples
• Optical microscopy with spectroscopy
• Label-free optical microscopy
• Adaptive optics in microscopy
• Photo-activated localization microscopy (PALM)
• Stochastic optical reconstruction microscopy (STORM)
• Stimulated emission depletion (STED)
• Minimal photon fluxes (MINFLUX) microscopy
• Structured illumination microscopy (SIM)
• Super-resolution optical fluctuation imaging (SOFI)
• Image scanning microscopy (ISM)
• Quantitative phase microscopy (QPM)
• 4Pi microscopy
• Biomedical/Clinical/Medical applications
• Deep Learning, compressed sensing related to optical microscopy, and applications
• Plasmonic/fluorescence nanoprobes for intracellular explorations
Optical microscopy (OM) is widely used in life science due to the merits of non-invasion, fast speed, and comprehensiveness. During the last decades, fluorescence probes with the features of photoswitchable, light resistance, high fluorescence yield, and low phototoxic have been developed. Optical super-resolution microscopic approaches, including single-molecule localization microscopy (SMLM), stimulated emission depletion (STED) microscopy, and structured illumination microscopy (SIM) have been invented, beating the Abbe diffraction limit presented on light microscopes. Recently, the performance of OM has been enhanced by the emergence of advanced devices like ferroelectric liquid crystal spatial light modulators (SLM), 2K/4K digital micromirror devices (DMD), high-power LED light, resonance scanning Galvano mirrors, and sensitive scientific CMOS (sCMOS) cameras. Moreover, new optical schemes, such as structured light illumination, vector beam focusing, and light-matter interaction, have been proposed to enhance the spatial resolution of OM. Rapid and robust image reconstruction algorithms, such as deep learning convolution neural networks and GPU parallel accelerated computing, are introduced with open-source codes and software. With the assistance of novel nanoprobes, such as plasmonic nanoprobes and fluorescence nanoprobes, OM has been applied to visualize the subcellular structures and intracellular events like the growth and shrinkage dynamics of microtubes and endoplasmic reticulum (ER) interaction with microtubes and mitochondria, as well as molecular-molecular interactions. The efforts from optics, chemistry, computer science, and biomedical demands promote OM to become more functional, lower costly, and easier to use.
This call of paper relates to the latest advances, trends, and applications of OM, including fluorescent probes, variants of OM techniques, applications of OM, and so on. Papers are solicited on, but not limited to following topics:
• New optical super-resolution microscopy
• 3D microscopy
• Special beams for optical microscopy
• Confocal/optical sectioning microscopy
• New devices used in optical microscopy
• Fluorescence probes for optical microscopy
• Multi-color/Full-color optical microscopy
• Microscopic image reconstruction algorithms
• Multimode optical microscopy
• Optical microscopy for polarized/thick samples
• Optical microscopy with spectroscopy
• Label-free optical microscopy
• Adaptive optics in microscopy
• Photo-activated localization microscopy (PALM)
• Stochastic optical reconstruction microscopy (STORM)
• Stimulated emission depletion (STED)
• Minimal photon fluxes (MINFLUX) microscopy
• Structured illumination microscopy (SIM)
• Super-resolution optical fluctuation imaging (SOFI)
• Image scanning microscopy (ISM)
• Quantitative phase microscopy (QPM)
• 4Pi microscopy
• Biomedical/Clinical/Medical applications
• Deep Learning, compressed sensing related to optical microscopy, and applications
• Plasmonic/fluorescence nanoprobes for intracellular explorations
