Dark-Field Microscopy: Recent Advances in Accurate Analysis and Emerging Applications

Gao, Peng Fei; Lei, Gang; Huang, Cheng

doi:10.1021/acs.analchem.0c04390

Cited by 83 publications

(50 citation statements)

References 217 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[11][12][13][14][15][16][17][18][19][20][21][22] As one of the great advances in plasmonics, plasmon ruler, which is developed to investigate micro/nano interactions through nanoscale distance-dependent plasmon coupling of a homotypic pair of plasmonic nanoparticles, [3][4]23] has become a powerful optical tool for exploring conformational dynamics of a single protein, [24] localized mechanical force transduction, [25] and the interactive biophysics and biochemistry between two components, such as complementary DNA sequence, [8,26] enzyme-substrate, [27] and chemical reaction substrates. [28] Different from the scattering imaging of a single plasmonic nanoprobe, which reveals the ensemble of reaction, [29][30][31][32][33][34][35][36][37][38][39] interaction, [40][41][42][43], and connection processes [44][45] occurred on the surface of the probe, the plasmon ruler enables the recognition of molecular binding [3,24,[26][27] and chemical reaction events [28] at the single-mole...…”

Section: Introductionmentioning

confidence: 99%

Plasmonic locator with sub‐diffraction‐limited resolution for continuously accurate positioning

et al. 2022

Self Cite

View full text Add to dashboard Cite

Both the accurate distance measurement and positioning information at the nanoscale are important for the analysis of micro/nano interactions. Plasmon ruler has been an indispensable optical tool to detect the chemical and biological dynamic processes via distance-dependent plasmon coupling in the nearly aggregated state. But it cannot disclose the detailed and accurate information of positions and dynamic movements of its two plasmonic components owing to the inherent diffraction limit. Herein, a plasmonic locator is presented which consists of a heterotypic pair of red/blue plasmonic components with significant wavelength difference (∼150 nm). Attributed to the detuned energy (∼0.64 eV) of the two components, the plasmonic locator has the ability of sub-diffraction-limited resolution (center to center, 30 nm) and accurate positioning under conventional dark-field microscopy, making the relative dynamic information of nearby red/blue components be recorded accurately at video rate. As an important complement to the current aggregate science and technology of plasmonics, this newly developed plasmonic locator presents a facile means to realize super-resolution imaging, accurate positioning, and continuous tracing in chemical and biological interactions at the single-molecule level.

show abstract

Section: Introductionmentioning

confidence: 99%

Plasmonic locator with sub‐diffraction‐limited resolution for continuously accurate positioning

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Their LSPR properties, namely the scattering color and intensity under DFM can be tuned from their size, morphology and polydispersity. 21,24 Therefore, the single nanoparticle scattering imaging strategy has continually emerged in the last two decades. [25][26][27] Most of these startergies employ Au NPs as the signal tags, which are less sensitive than equivalent silver nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Toehold-mediated strand displacement coupled with single nanoparticle dark-field microscopy imaging for ultrasensitive biosensing

Guo

Wang

et al. 2022

Nanoscale

View full text Add to dashboard Cite

show abstract

“…Plasmonic nanoparticles have bright and stable light scattering signals due to their localized surface plasmon resonance (LSPR) optical characteristics. − The LSPR of plasmonic nanoparticles has properties that are adjustable and related to different materials, morphologies, and sizes. − Due to these advantages, noble metals such as gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs) are usually used to construct scattering probes to analyze and detect biomolecules, drugs, and food. , Since dark-field microscopy (DFM) has the advantages of high signal-to-noise ratio and sensitive response, it is often used to obtain the resonance light scattering signal of plasmonic nanoparticles. − At present, DFM is widely used in real-time and effective analysis of chemical reactions at the level of single nanoparticles. − …”

Section: Introductionmentioning

confidence: 99%

Weak Reaction Scatterometry of Plasmonic Resonance Light Scattering with Machine Learning

Peng

Luo

et al. 2021

Anal. Chem.

Self Cite

View full text Add to dashboard Cite

Weak reactions are usually overlooked due to weak detectable features and susceptibility to interference from noise signals. Strategies for detecting weak reactions are essential for exploring reaction mechanisms and exploiting potential applications. Machine learning has recently been successfully used to identify patterns and trends in the data. Here, it is demonstrated that machine learning-based techniques can offer accurate local surface plasmon resonance (LSPR) scatterometry by improving the precision of the plasmonic scattering imaging in weak chemical reactions. Dark-field microscopy (DFM) imaging technique is the most effective method for high-sensitivity plasmonic nanoparticles LSPR scatterometry. Unfortunately, deviations caused by the instrument and operating errors are inevitable, and it is difficult to effectively detect the presence of weak reactions. Thus, introducing a machine learning calibration model to automatically calibrate the scattering signal of the nanoprobe in the reaction process can greatly improve the confidence of LSPR scatterometry under DFM imaging and allow DFM imaging to effectively monitor unobvious or weak reactions. By this approach, the weak oxidation of silver nanoparticles (AgNPs) in water by dissolved oxygen was successfully monitored. Moreover, a trivial reaction between AgNPs and mercury ions was detected in a dilute mercury solution with a concentration greater than 1.0 × 10 −10 mol/L. These results suggest the great potential of the combination of LSPR scatterometry and machine learning as a method for imaging analysis and intelligent sensing.

show abstract

Dark-Field Microscopy: Recent Advances in Accurate Analysis and Emerging Applications

Cited by 83 publications

References 217 publications

Plasmonic locator with sub‐diffraction‐limited resolution for continuously accurate positioning

Plasmonic locator with sub‐diffraction‐limited resolution for continuously accurate positioning

Toehold-mediated strand displacement coupled with single nanoparticle dark-field microscopy imaging for ultrasensitive biosensing

Weak Reaction Scatterometry of Plasmonic Resonance Light Scattering with Machine Learning

Contact Info

Product

Resources

About