Biocompatible fluorescent silicon nanocrystals for single-molecule tracking and fluorescence imaging

Nishimura, Hirokazu; Ritchie, Ken; Kasai, Rinshi S.; Goto, Miki; Morone, Nobuhiro; Sugimura, Hiroyuki; Tanaka, Kōichiro; Sase, Ichiro; Yoshimura, Akihiko; Nakano, Yoshitaro; Fujiwara, Takeshi; Kusumi, Akihiro

doi:10.1085/jgp.1424oia31

Cited by 6 publications

(11 citation statements)

References 41 publications

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“…SiQDs have been used for tracking transferrin receptor activity in rat kidney cells by conjugating the SiQDs to transferrin. This method allowed tracking individual transferrin molecules for 10‐fold longer compared with fluorescent dyes (Nishimura et al ., 2013). SiQDs have also been used for imaging water flea embryos, as SiQDs were localised in the gut, yolk sac and eye lenses (D'Amora et al ., 2019).…”

Section: Fluorescent Nanoparticles In Biological Researchmentioning

confidence: 99%

“…Generally, fluorescence excitation is achieved with a light source or radioactive energy (Liu et al ., 2010). Light sources that have been used include continuous wave (CW) or pulsed lasers (Whiteside et al ., 2009), Hg lamps (Whiteside et al ., 2009; Nishimura et al ., 2013), Xe lamps (Ma et al ., 2008; Cayuela et al ., 2013; Brandt et al ., 2015) and LEDs (Minnaar & Anderson, 2019; Minnaar et al ., 2019). Additionally, FNP fluorescence can be achieved indirectly via excitation of another chromophore and subsequent FRET between the chromophore and the FNP (Chou & Dennis, 2015; Afsari et al ., 2016; Goryacheva et al ., 2017 b ).…”

Section: Quantification Of Fnpsmentioning

confidence: 99%

“…Similarly, the intensity of fluorescence, which indirectly indicates the amount of FNPs in the ROI, can be calculated by comparing it to a non‐fluorescent, identically sized area of a picture. Comparisons are usually based on the average or maximum and minimum fluorescence intensities of each pixel in the ROI and control area (Ballou et al ., 2004; Chibli et al ., 2011; Nishimura et al ., 2013; Boschi & de Sanctis, 2017; Erland et al ., 2019). Especially when comparing larger areas, such as whole micro‐organisms, FNP‐incubated individuals and control individuals can be compared for the same parameters (Bouldin et al ., 2008).…”

Section: Quantification Of Fnpsmentioning

confidence: 99%

“…Several methods have been developed for determining FNP movements. Particle positions in the x and y axes in each frame are determined in time and this information is used to calculate trajectories and diffusivity of particles in the target tissues (Ekvall et al ., 2013; Nishimura et al ., 2013; Liu et al ., 2016 a ).…”

Section: Quantification Of Fnpsmentioning

confidence: 99%

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Fluorescent nanoparticles as tools in ecology and physiology

et al. 2021

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Fluorescent nanoparticles (FNPs) have been widely used in chemistry and medicine for decades, but their employment in biology is relatively recent. Past reviews on FNPs have focused on chemical, physical or medical uses, making the extrapolation to biological applications difficult. In biology, FNPs have largely been used for biosensing and molecular tracking. However, concerns over toxicity in early types of FNPs, such as cadmium-containing quantum dots (QDs), may have prevented wide adoption. Recent developments, especially in non-Cd-containing FNPs, have alleviated toxicity problems, facilitating the use of FNPs for addressing ecological, physiological and molecule-level processes in biological research. Standardised protocols from synthesis to application and interdisciplinary approaches are critical for establishing FNPs in the biologists' tool kit. Here, we present an introduction to FNPs, summarise their use in biological applications, and discuss technical issues such as data reliability and biocompatibility. We assess whether biological research can benefit from FNPs and suggest ways in which FNPs can be applied to answer questions in biology. We conclude that FNPs have a great potential for studying various biological processes, especially tracking, sensing and imaging in physiology and ecology.

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Section: Fluorescent Nanoparticles In Biological Researchmentioning

confidence: 99%

Section: Quantification Of Fnpsmentioning

confidence: 99%

Section: Quantification Of Fnpsmentioning

confidence: 99%

Section: Quantification Of Fnpsmentioning

confidence: 99%

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Fluorescent nanoparticles as tools in ecology and physiology

et al. 2021

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“…Silicon nanoparticles (SiNPs) are being used in the manufacture of finest sensors and nanoprobes for various bioimaging applications. These nanoparticles are highly porous with high surface area to volume ratio and possess unique chemical, biodegradable, electrical, and optical properties [72,73]. The product of biodegradation of silicon nanomaterials, for instance, orthosilicic acid is congenial with tissues in the body.…”

Section: Silicon-based Nanomaterialsmentioning

confidence: 99%

Fluorescent Nanomaterials for Cellular Imaging

Ghosh¹,

Sharma²

2020

Fluorescence Methods for Investigation of Living Cells and Microorganisms

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This chapter will provide an overview of different nanomaterials, which are being used for nondestructive imaging of living entities such as cells and tissues. The chapter begins with the basics of fluorescence imaging followed by a discussion on the advantages of fluorescent nanomaterials as compared to commonly used molecular fluorophores and imaging probes. Specific features and applications of nanomaterials frequently exploited in bioimaging are summarized. These include fluorescent silicon-based nanomaterials, hydrogels, polymer dots, magnetic nanoparticles, fluorescent quantum dots, carbon dots and other carbon-based nanomaterials, noble metal nanoparticles, micelles, dendrimers, lipid nanoparticles, and so on. Specific examples on their applications in bioimaging including multimodal imaging and targeted imaging are illustrated.

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Near-Unity Internal Quantum Efficiency of Luminescent Silicon Nanocrystals with Ligand Passivation

et al. 2015

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Spectrally resolved photoluminescence (PL) decays were measured for samples of colloidal, ligand-passivated silicon nanocrystals. These samples have PL emission energies with peak positions in the range ∼1.4-1.8 eV and quantum yields of ∼30-70%. Their ensemble PL decays are characterized by a stretched-exponential decay with a dispersion factor of ∼0.8, which changes to an almost monoexponential character at fixed detection energies. The dispersion factors and decay rates for various detection energies were extracted from spectrally resolved curves using a mathematical approach that excluded the effect of homogeneous line width broadening. Since nonradiative recombination would introduce a random lifetime variation, leading to a stretched-exponential decay for an ensemble, we conclude that the observed monoexponential decay in size-selected ensembles signifies negligible nonradiative transitions of a similar strength to the radiative one. This conjecture is further supported as extracted decay rates agree with radiative rates reported in the literature, suggesting 100% internal quantum efficiency over a broad range of emission wavelengths. The apparent differences in the quantum yields can then be explained by a varying fraction of "dark" or blinking nanocrystals.

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Biocompatible fluorescent silicon nanocrystals for single-molecule tracking and fluorescence imaging

Cited by 6 publications

References 41 publications

Fluorescent nanoparticles as tools in ecology and physiology

Fluorescent nanoparticles as tools in ecology and physiology

Fluorescent Nanomaterials for Cellular Imaging

Near-Unity Internal Quantum Efficiency of Luminescent Silicon Nanocrystals with Ligand Passivation

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