Enhanced Darkfield Optical Microscopy Opens New Nano-Scale Imaging Possibilities

Lawrence, Sam

doi:10.1017/s1551929520001765

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Optical observation and spectral mapping of FA-loaded polymeric NPs were carried out using an Olympus BX-43 optical microscope coupled to a dark-field based illuminator condenser, 57 which operates in the Visible-Near Infrared Range (VNIR) (400-1000 nm) with spectral imaging (Cytoviva Inc., Auburn, AL, USA). The brightness intensity was controlled using a halogen source (150 W) with a lamp voltage of 11 V. FA and PLGA solutions were separately scanned to obtain the corresponding hyperspectral reference images.…”

Section: Dark-field Hyperspectral Microscopymentioning

confidence: 99%

Ferulic acid-loaded polymeric nanoparticles prepared from nano-emulsion templates facilitate internalisation across the blood–brain barrier in model membranes

et al. 2023

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Section: Dark-field Hyperspectral Microscopymentioning

confidence: 99%

Ferulic acid-loaded polymeric nanoparticles prepared from nano-emulsion templates facilitate internalisation across the blood–brain barrier in model membranes

et al. 2023

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“…Besides endogenous factors of materials, the exogenous parameters, such as the medium of the sample, method of illumination, angle of incidence, and numerical aperture of the objective, also influence the resulting image. Thus, the CytoViva TM enhanced dark-field illumination system (CytoViva, Auburn, Al, USA), widely used in biology and medicine, increases the SNR up to ten times by efficiently utilising these features [49,50]. In the enhanced dark-field microscopy (EDFM), the fibre optic illumination source is directly connected to the cardioid annular oil immersion dark-field condenser to reflect the aberration-free light at an oblique angle [51].…”

Section: Dark-field Microscopymentioning

confidence: 99%

Dark-Field Hyperspectral Microscopy for Carbon Nanotubes Bioimaging

Ishmukhametov

Fakhrullin

2021

Applied Sciences

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Carbon nanotubes have emerged as a versatile and ubiquitous nanomaterial, finding applications in industry and biomedicine. As a result, biosafety concerns that stimulated the research focused on evaluation of carbon nanotube toxicity. In addition, biomedical applications of carbon nanotubes require their imaging and identification in biological specimens. Among other methods, dark-field microscopy has become a potent tool to visualise and identify carbon nanotubes in cells, tissues, and organisms. Based on the Tyndall effect, dark-field optical microscopy at higher magnification is capable of imaging nanoscale particles in live objects. If reinforced with spectral identification, this technology can be utilised for chemical identification and mapping of carbon nanotubes. In this article we overview the recent advances in dark-field/hyperspectral microscopy for the bioimaging of carbon nanotubes.

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“…It allows for the visualization of the morphology, structure, and movement characteristics of the plankton without disturbing them. 7 Darkfield images have a black background and feature white or colored edges, reflecting the outlines and details of the plankton. The images have excellent resolution and rich color information, which can better highlight the edges, facilitate subsequent detection and recognition of the targets, and are beneficial for classification and quantification of plankton.…”

Section: Introductionmentioning

confidence: 99%

Automatic region of interest extraction in underwater plankton darkfield images

Sun,

Wang,

Chen

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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Underwater in-situ darkfield microscopy imaging can grasp excellent resolution and high contrast images for observing transparent and living plankton. However, its limited field of view and shallow depth of field leads to a large amount of redundant data during image acquisition. Manual extraction of regions of interest (ROIs) imposes significant labor and time costs. Therefore, we develop an automatic ROI extraction method to obtain high-quality in-focus individual plankton images from raw images. A multiscale underwater in-situ microscopy system (MUIMS)based on darkfield imaging has been established. The system allows for the monitoring of plankton in the size range from 10μm to 1cm. A series of preprocessing steps are performed on the raw darkfield images to make edge detection and segmentation of plankton regions. This can realize rapid extraction of ROIs from the raw images. A dataset is constructed from these ROIs, and each image is labeled to indicate whether it is a high-quality image. By using a transfer learning strategy, we improve a pre-trained ResNet-18 model and train it to accurately classify high-quality ROIs. The experimental results show that this method can rapidly extract useful information from raw images, achieving an accuracy of over 90% in judging the quality of ROIs. This research is beneficial for building a dataset of high-quality plankton, which provides a crucial data foundation for ecological research and marine biodiversity conservation.

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Enhanced Darkfield Optical Microscopy Opens New Nano-Scale Imaging Possibilities

Abstract: Abstract

Cited by 7 publications

References 6 publications

Ferulic acid-loaded polymeric nanoparticles prepared from nano-emulsion templates facilitate internalisation across the blood–brain barrier in model membranes

Ferulic acid-loaded polymeric nanoparticles prepared from nano-emulsion templates facilitate internalisation across the blood–brain barrier in model membranes

Dark-Field Hyperspectral Microscopy for Carbon Nanotubes Bioimaging

Automatic region of interest extraction in underwater plankton darkfield images

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