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Search for "image" in Full Text gives 1486 result(s) in Beilstein Journal of Nanotechnology. Showing first 200.
Targeting the vector of arboviruses Aedes aegypti with nanoemulsions based on essential oils: a review with focus on larvicidal and repellent properties
Beilstein J. Nanotechnol. 2025, 16, 1894–1913, doi:10.3762/bjnano.16.132
Low-temperature AFM with a microwave cavity optomechanical transducer
Beilstein J. Nanotechnol. 2025, 16, 1873–1882, doi:10.3762/bjnano.16.130
- degraded by detector noise. For FM-AFM this bandwidth is Δf = Γ(T/T*), whereas AM-AFM requires Δf ≤ Γ. Force sensitivity is, however, only one aspect of a high-performance AFM. Ultimately the image speed and resolution, both vertical and lateral, are influenced by many factors, namely, equilibrium tip
- blue-detuned cantilever drive ensures that the PI controller retracts the z-scanner in the event of a sudden drop in the measured signal, thus avoiding crashing the probe into the surface. The image in Figure 4a is acquired with a measurement bandwidth of Δf = 1.5 Hz < Γ, corresponding to a scan rate
- of roughly 67 s/line. The choice of the integral gain is crucial for optimal surface tracking. Too large values of integral gain result in an overly responsive feedback that introduces noise on the topographic image and feedback oscillations. Too low values can lead to instability or loss of surface
Current status of using adsorbent nanomaterials for removing microplastics from water supply systems: a mini review
Beilstein J. Nanotechnol. 2025, 16, 1837–1850, doi:10.3762/bjnano.16.127
- scalability, adsorbent nanomaterials offer a strong foundation for sustainable solutions that safeguard both human health and aquatic ecosystems. Sources and distribution of MPs in environmental systems. An illustration of the four main groups and mechanisms of adsorbent nanomaterials. SEM and TEM image of
- synthesized Co-MOFs for removing MPs. SEM images of (a) CeO2, (b) CeO2 3D flower-spheres, (c, d) ZIF-67 before and after calcination at 500 °C, (e, f) ZIF-67-90@CeO2, and (g, h) Co–N/C-90@CeO2 composites. TEM images of (i) CeO2 3D flower-spheres, (j) Co–N/C-90@CeO2 composite. (k) Enlarged TEM image of Co–N/C
Exploring the potential of polymers: advancements in oral nanocarrier technology
Beilstein J. Nanotechnol. 2025, 16, 1751–1793, doi:10.3762/bjnano.16.122
Multifunctional anionic nanoemulsion with linseed oil and lecithin: a preliminary approach for dry eye disease
Beilstein J. Nanotechnol. 2025, 16, 1711–1733, doi:10.3762/bjnano.16.120
Beyond the bilayer: multilayered hygroscopic actuation in pine cone scales
Beilstein J. Nanotechnol. 2025, 16, 1695–1710, doi:10.3762/bjnano.16.119
- imaging beamline P05 operated by Helmholtz-Zentrum Hereon at PETRA III (DESY Deutsches Elektronen Synchrotron, Hamburg, Germany). Phase contrast-based near-field holotomography was used to image our samples, utilizing a 300 µm gold Fresnel zone plate to focus the monochromatic beam with an energy of 11
- keV [32]. For the in situ nano-holotomography, a climate chamber [33] was used to image the specimen in a moist (90% RH) and a dry (<3% RH) state. A binning factor of two was applied to the images. The phase retrieval was performed using the Holowizard framework [34][35]. The sample volumes were
- information. DVC was performed using the image registration software Elastix with its implemented B-spline transformation (ver. 5.1.0) [39]. The images were aligned in a two-step process, first with an affine transformation and then with a B-spline transformation. For both steps, a pyramidal approach with
Ambient pressure XPS at MAX IV
Beilstein J. Nanotechnol. 2025, 16, 1677–1694, doi:10.3762/bjnano.16.118
- ), averaging over 720,000 pulses. One measured spectrum is sorted into the 2D image shown in Figure 7 by using the time difference between the pump signal and the probing signal. The 2D image averages over 720,000 gas pulses. Using the O 1s and N 1s core levels (Figure 7A–D), it is possible to follow both the
- under the terms of the Creative Commons Attribution 4.0 International License, https://creativecommons.org/licenses/by/4.0). Hydrogen oxidation reaction under ~0.5 ML Gr on Ir(111) at 370 K and 1 mbar total pressure. (a, b) 2D image plots of (a) O 1s and (b) C 1s during one hydrogen-rich pulse (50 s of
Bioinspired polypropylene-based functionally graded materials and metamaterials modeling the mistletoe–host interface
Beilstein J. Nanotechnol. 2025, 16, 1592–1606, doi:10.3762/bjnano.16.113
- showed that both Young’s modulus (by 38%) and ultimate tensile strength (by 62%) could be increased by introducing V-shaped interfaces. Digital image correlation analysis and the fracture images showed that the positioning of the area with the highest glass fiber content can lead to spatial control over
- with the host branch and provide a framework for creating bioinspired functionally graded material systems with programmable local strain and failure behavior. Keywords: bioinspiration; digital image correlation; fiber-reinforced polypropylene; materials interface; programmable failure; Introduction
- SkyScan 1272 CT scanner together with SkyScan software (version 1.1.10, both Bruker Corporation, Billerica, MA, United States). Data were reconstructed using NRecon software (version 1.6.10.1, Micro Photonics Inc., Allentown, PA, United States). Image processing was performed using the image processing
Photocatalytic degradation of ofloxacin in water assisted by TiO2 nanowires on carbon cloth: contributions of H2O2 addition and substrate absorbability
Beilstein J. Nanotechnol. 2025, 16, 1567–1579, doi:10.3762/bjnano.16.111
- nanowires. The corresponding selected-area electron diffraction (SAED) pattern reveals clear diffraction rings attributable to anatase and minor brookite TiO2 phases. Additionally, the HRTEM image (Figure 1f) shows well-defined lattice fringes with a spacing of approximately 0.35 nm, which corresponds to
Influence of laser beam profile on morphology and optical properties of silicon nanoparticles formed by laser ablation in liquid
Beilstein J. Nanotechnol. 2025, 16, 1533–1544, doi:10.3762/bjnano.16.108
- magnified image of the area exposed to irradiation from the outer rings (Supporting Information File 1, Figure S5c) shows individual twisted nanofilaments. This observation confirms the participation of the outer rings in nanofilament formation and proves melting of the target by the outer rings. In
Laser processing in liquids: insights into nanocolloid generation and thin film integration for energy, photonic, and sensing applications
Beilstein J. Nanotechnol. 2025, 16, 1428–1498, doi:10.3762/bjnano.16.104
- morphological features [118][119]. A 3D AFM image of ZnO NPs drop-cast on a glass substrate is shown in Figure 11b, revealing the surface morphology. Their photodetection and photovoltaic properties are discussed in the later sections of this review. Research articles provide limited information on the
Photochemical synthesis of silver nanoprisms via green LED irradiation and evaluation of SERS activity
Beilstein J. Nanotechnol. 2025, 16, 1417–1427, doi:10.3762/bjnano.16.103
- spectra of the AgNPs seed shown in the Figure 1a displayed a single peak at 400 nm, indicating the presence of spherical silver nanoparticles with small sizes, consistent with studies in the literature [4][6][7]. The sample exhibited the characteristic yellow color of AgNPs. The TEM image and size
- performed (HORIBA XploRA ONE TM, France) using a 532 nm laser source and a 10× magnification microscope. Measurements were taken at ten random positions, and the average intensity was recorded. (a) UV–vis spectrum, (b) TEM image and (c) size distribution of seeds. UV–vis spectra of silver nanoparticles at
Parylene-coated platinum nanowire electrodes for biomolecular sensing applications
Beilstein J. Nanotechnol. 2025, 16, 1392–1400, doi:10.3762/bjnano.16.101
- complete as intended and these electrodes were discarded. A thin layer of copper deposition on the exposed platinum nanowire tip was further examined using SEM imaging and energy-dispersive X-ray spectroscopy (EDS) elemental composition analysis. Figure 2b presents an SEM image of the copper-coated
- 5a, an upright microscope was tilted 90° and placed on its side for vertical nanowire growth. Horizontal nanowire growth with the DENA method results in an angle between the nanowire and the tungsten rod, which is not ideal for this nanoscale electrode application. Figure 5b shows a close-up image of
- nanowire coated with parylene-C polymer, and (d) a laser-exposed platinum electrode. Scale bars are 10 μm. (a) Optical image of electrochemically deposited copper nodule on platinum nanowire tip. Scale bar is 10 μm. (b) SEM image of the deposited thin copper layer on the platinum nanowire tip of an
Synthesis and antibacterial properties of nanosilver-modified cellulose triacetate membranes for seawater desalination
Beilstein J. Nanotechnol. 2025, 16, 1380–1391, doi:10.3762/bjnano.16.100
- potential presence of oxidizing agents in brackish water can lead to the breakdown of the PDA matrix. The cross-sectional SEM image shows that the PDA layer remains present on the surface of the Ag@PCTA membrane, with a relatively dense structure (Figure 4h). High-magnification views clearly depict the PDA
Automated collection and categorisation of STM images and STS spectra with and without machine learning
Beilstein J. Nanotechnol. 2025, 16, 1367–1379, doi:10.3762/bjnano.16.99
- accomplished via assessment of the imaging quality on the target molecule and also the characteristics of the scanning tunnelling spectra (STS) on clean metal surfaces. Critically for spectroscopic experiments, assessment of the spatial resolution of the image is not sufficient to ensure a high-quality tip for
- . This schema achieved final precision in classification of 84% and a recall of 74%. Similarly to image classification in scanning probe microscopy (SPM) [16][17][18], the availability of such a large amount of data for training is usually very low, making ML-based classifiers troublesome to train. In
- number of STS measurements can be obtained over various molecules automatically with optimised tips and the quality of the spectra and image assessed automatically. Methods Experimental details We used a third-generation commercial low-temperature (LT) STM NC-AFM instrument (Scienta Omicron GmbH), which
Ferroptosis induction by engineered liposomes for enhanced tumor therapy
Beilstein J. Nanotechnol. 2025, 16, 1325–1349, doi:10.3762/bjnano.16.97
- light scattering (DLS) is commonly used to determine liposome size and size distribution. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) can be used to image liposome morphology and determine lamellarity. Zeta potential measurements assess the surface charge of liposomes, which
Deep-learning recognition and tracking of individual nanotubes in low-contrast microscopy videos
Beilstein J. Nanotechnol. 2025, 16, 1316–1324, doi:10.3762/bjnano.16.96
- filtering, and object edge contrast was enhanced using Gaussian difference filtering. Finally, image contrast was optimized through histogram equalization [10]. Deep learning model The deep learning model and its training are detailed in Supporting Information File 1. In short, an image recognition system
- 1). This approach, which is a variation of the shade correction commonly used in image processing, involves subtracting a background snapshot containing the illumination profile from the image [18][19]. Typically, the first frame (Figure 1a, left image) of a sequence is used as the background
- networks in a single pipeline (Figure 2). The image is first processed by the backbone network to produce a feature map. Region of interest (ROI) proposal and prediction networks then localize boundary boxes of the objects and classify them. Finally, a fully connected convolutional network generates a
Wavelength-dependent correlation of LIPSS periodicity and laser penetration depth in stainless steel
Beilstein J. Nanotechnol. 2025, 16, 1302–1315, doi:10.3762/bjnano.16.95
- periodic surface structures (LIPSS). Critical components of this setup include the femtosecond laser, optical parametric amplifier (OPA), ND variable filter (VF), mirrors (M), three-axis stages (3D stages), and a convex lens (L) employed to focus the laser beam onto the surface precisely. The inset image
- incident power at a wavelength of 800 nm. (a) 20 mW, (b) 150 mW, and (c) 300 mW. Showing the EDS elemental analysis for laser-treated and untreated stainless steel surface. (a) SEM image of laser-treated SS substrate, we picked three areas whose EDS spectra are shown in b, c, and d. (e) SEM image of bare
Better together: biomimetic nanomedicines for high performance tumor therapy
Beilstein J. Nanotechnol. 2025, 16, 1246–1276, doi:10.3762/bjnano.16.92
Functional bio-packaging enhanced with nanocellulose from rice straw and cinnamon essential oil Pickering emulsion for fruit preservation
Beilstein J. Nanotechnol. 2025, 16, 1234–1245, doi:10.3762/bjnano.16.91
- suspension has a size of around 20–30 nm and a length below 300 nm, and size increase due to structural collapse would be seen upon drying [24][46]. A SEM image of the nanocellulose sample is given in Figure 3a. After freeze-drying, some coagulation occurred, increasing the size of the sample to reach ≈4 µm
Mechanical stability of individual bacterial cells under different osmotic pressure conditions: a nanoindentation study of Pseudomonas aeruginosa
Beilstein J. Nanotechnol. 2025, 16, 1171–1183, doi:10.3762/bjnano.16.86
- force–separation curve analyzed in real time by the software. A color-coded map is obtained according to the physical parameters extracted from the curve, as shown in Figure 1B,C. Figure 2 shows an FV image of the topography or height channel for several individual PA bacteria on the substrate. An
- , maximal deformation, and adhesion force. Created in BioRender. García-torres, L. (2025) https://BioRender.com/zpchrmj. This content is not subject to CC BY 4.0. Mapping living bacteria with force–volume AFM. A) 2D height image of Pseudomonas aeruginosa obtained in FV mode where pixels indicating the
- location of single nanoindentations can be easily discerned. B) Cross-section profiles taken from both main axes of the bacteria shown in A) with dashed lines for length (blue) and width (red). C) 3D reconstruction of the image shown in A) shows how FV can also accurately represent the topography of the
Transfer function of an asymmetric superconducting Gauss neuron
Beilstein J. Nanotechnol. 2025, 16, 1160–1170, doi:10.3762/bjnano.16.85
- , prediction, pattern recognition, and image and video generation. The increasing number of tasks and the growing volume of processed information highlight the relevance of using superconducting elements, which offer the advantages of high clock frequency and energy efficiency [1][2]. Studies [3][4][5][6
Deep learning for enhancement of low-resolution and noisy scanning probe microscopy images
Beilstein J. Nanotechnol. 2025, 16, 1129–1140, doi:10.3762/bjnano.16.83
- minutes are typically required for each scan. Second, AFM scans can contain inherent artifacts in the captured image due to the operating system settings or the sample and its interaction with the tip. In principle, tip–surface contact should be carefully controlled to avoid damage due to these
- interactions. Scanning distortions due to non-linearities in the scan are also trickier to correct and harder to avoid in fast scanning. Some of these artifacts can be eliminated or attenuated by image processing techniques [4][5][6][7][8][9][10][11][12]. Another resolution-limiting factor in AFM is the tip
- to map the surface to scales below the measured image feature size by “erosion” [14]. It is also important to note that recently machine-learning based methods have been applied to blind reconstruction to reconstruct true surface images from AFM images experimentally broadened by the tip [15
Towards a quantitative theory for transmission X-ray microscopy
Beilstein J. Nanotechnol. 2025, 16, 1113–1128, doi:10.3762/bjnano.16.82
- TXM image. The qualitative agreement improves if we incorporate a small tilt into the condenser illumination relative to the optical axis, implying a small misalignment in the microscope. Finally, in quantitative comparisons, we show that the model predicts the nanosphere’s expected absorption as
- the microscope’s image-formation process, and for the improvement of 3D tomographic reconstruction procedures [13][14][15][16], which are used to produce 3D volumes from a 2D tilt series of TXM images. Over the past three decades, models for soft TXMs have grown increasingly sophisticated [17][18][19
- combination of the ellipsoidal mirror and central stop produces illumination of the sample (Figure 1a) over an angular range of 0.83–1.18°. The final size of the ellipsoidal mirror’s focused spot (≈2.7 μm × 0.7 μm) is smaller than most samples, and therefore to generate an image of the sample, the focused
Influence of ion beam current on the structural, optical, and mechanical properties of TiO2 coatings: ion beam-assisted vs conventional electron beam evaporation
Beilstein J. Nanotechnol. 2025, 16, 1097–1112, doi:10.3762/bjnano.16.81
- morphology. After thermal modification, the surface morphology of the prepared coatings without additional ion bombardment showed very large grains with an average size of approximately 100 nm, which formed agglomerates with visible voids between them (Figure 3 A). Additionally, the cross-section image
- the cross-section morphology of the titanium dioxide coating deposited with Iibg = 3 A (Figure 3b), changing its fibrous structure to a coarse-grained one. The width of these elongated grains ranged from 60 to 120 nm. Contrary to this, the cross-section image (Figure 3c) of the TiO2 coating deposited
- coating, as the grains tend to grow due to recrystallization and diffusion processes, leading to changes in density and structure. The formation of a double-layer coating, as observed in the cross-section scanning electron microscopy image (inset in Figure 4c) of the annealed TiO2 coating deposited with
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