Fluorescent Probes for Super-Resolution Microscopy of Lysosomes

Yadav, Aditya; Rao, Chethana; Nandi, Chayan Kanti

doi:10.1021/acsomega.0c04018

Cited by 15 publications

(11 citation statements)

References 31 publications

(63 reference statements)

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“… Dadfar et al have shown that the magnetic saturation increases in SPIONs with the increase in size . Surprisingly, despite the large magnetic saturation, incorporation of other materials for their use as multimodal probes, especially for their use in optical-based super-resolution microscopy (SRM), such as stimulated emission depletion (STED), structured illumination microscopy (SIM), stochastic optical reconstruction microscopy (STORM), and photoactivated localization microscopy (PALM), which provides the resolution of the cellular cytoskeleton down to the subnanometer level by breaking the diffraction limit of light, is scarce. , …”

Section: Introductionmentioning

confidence: 99%

Superparamagnetic Iron Oxide Nanoparticles with Large Magnetic Saturation and High Particle Photon Counts for Super-Resolution Imaging of Lysosomes

Yadav

Rao

Kaushik

et al. 2022

ACS Appl. Nano Mater.

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Superparamagnetic iron oxide nanoparticles (SPIONs) have become benchmark materials for their large magnetic saturation and excellent T2 contrast. Despite the large magnetic saturation that arises due to the enormous iron content, incorporating a fluorescent nature for their use as multimodal probes drastically reduces the magnetic saturation. To achieve the desired magnetic saturation in fluorescence-decorated SPIONs, the size is increased substantially to hundreds of nanometers. Here, we rationally design fluorescent SPIONs of size ∼16 nm with significant magnetic saturation and high single-particle photon counts used for optical-based super-resolution microscopy. The SPIONs were highly specific to stain and image the lysosomes of HeLa cells with high contrast and were capable of providing super-resolution radial fluctuation (SRRF) imaging of lysosomes down to 130 nm, which is much lower than the diffraction limit in light microscopy.

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Section: Introductionmentioning

confidence: 99%

Superparamagnetic Iron Oxide Nanoparticles with Large Magnetic Saturation and High Particle Photon Counts for Super-Resolution Imaging of Lysosomes

Yadav

Rao

Kaushik

et al. 2022

ACS Appl. Nano Mater.

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“…It is a high-resolution microscope with advanced technology to overcome limited resolution found in optical microscopes that are caused by the diffraction of light [68][69][70][71][72][73][74][75][76].…”

Section: Structured Illumination Microscopementioning

confidence: 99%

Microscope in Dentistry: A Review Article

Mukherjee¹,

Dasgupta²

2021

Innovare J Med Sci

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The microscope has been one of the oldest yet most exquisite inventions in human history. The lenses changed the future of medical science and its abstraction forever. Previously, humans never know much about the source of disease, but today we know that the universe of microbes is vaster and more limitless than it ever was. However, the microscope is not just limited to laboratory in vitro research and study; it has remodeled dentistry more today than ever. This article describes the various types of microscopes used in periodontics, endodontics, and oral pathology in dentistry.

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“…Besides, more sensitive and low-noise camera and highly photostable fluorescence probes will also improve imaging ability of SIM system. Especially, a bottleneck to apply aberration correction and super-resolution approaches for live-cell imaging is the availability of appropriate fluorescent probes that can be specifically attached to biomolecules [38]. In structured illumination microscopy, if fluorophores are excited with a pattern illumination to generate a bright fluorescence signal from a smaller subset of emitters below a diffraction-limited region, the image quality will be improved dramatically.…”

Section: The Reconstruction Of Sim Image Based On the Well-trained Cnn Modelmentioning

confidence: 99%

Adaptive optics for structured illumination microscopy based on deep learning

Zheng

Chen

et al. 2021

Cytometry Pt A

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Structured illumination microscopy (SIM) is widely used in biological imaging for its high resolution, fast imaging speed, and simple optical setup. However, when imaging thick samples, the structured illumination patterns in SIM will suffer from optical aberrations, leading to a serious deterioration in resolution. Therefore, it is necessary to reconstruct structured illumination patterns with high quality and efficiency in deep tissue imaging. Here we demonstrate an adaptive optics (AO) correction method based on deep learning in wide-field SIM imaging system. The mapping between the coefficients of the first 15 Zernike modes and their corresponding distorted patterns is established to train the convolution neural network (CNN). The results show that the optimized CNN can predict the aberration phase within 10.1 ms with a personal computer. The correlation index between the aberration phases and their corresponding predicted aberration phase is up to 0.9986. This method is highly robust and effective for patterns with various spatial densities and illumination conditions and able to effectively correct the imaging distortion caused by optical aberration in SIM system.

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Fluorescent Probes for Super-Resolution Microscopy of Lysosomes

Cited by 15 publications

References 31 publications

Superparamagnetic Iron Oxide Nanoparticles with Large Magnetic Saturation and High Particle Photon Counts for Super-Resolution Imaging of Lysosomes

Superparamagnetic Iron Oxide Nanoparticles with Large Magnetic Saturation and High Particle Photon Counts for Super-Resolution Imaging of Lysosomes

Microscope in Dentistry: A Review Article

Adaptive optics for structured illumination microscopy based on deep learning

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