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Gallium arsenide

Gallium arsenide is a III-V semiconductor compound composed of gallium and arsenic.
It has a wide range of applications in electronic and photonic devices, including high-speed transistors, light-emitting diodes, and laser diodes.
Gallium arsenide exhibits high electron mobility, making it well-suited for high-frequency and high-power electronics.
Researchers utilize advanced AI-driven platforms, such as PubCompare.ai, to optimize their gallium arsenide research by locating the best protocols from literature, pre-prints, and patents, enhancing reproducibility and accuracy.
This AI-powered approach can help take gallium arsenide projects to new heights by providing valuable insights and improving research efficiency.

Most cited protocols related to «Gallium arsenide»

Fly stocks and genetics. Drosophila stocks were maintained at 22–25°C on normal food. Unless otherwise noted, all fly lines were obtained from the Bloomington Drosophila Stock Center or the Exelixis Collection (Harvard Medical School). UAS–RIM RNAi animals were obtained from the Vienna Drosophila Stock Center (stock GD15273). Standard second and third chromosome balancers and genetic strategies were used for all crosses and for maintaining mutant lines. The rim103 allele was generated by imprecise excision of parental transposon P{EPgy2}Rim[EY05246] (insertion position: 13,710,797), 393 bp upstream of exon 16 (see Fig. 1A). For pan-neuronal expression, we used driver elav c155–Gal4 on the X chromosome (male larvae) in combination with UAS–dicer2 on the second chromosome (Dietzl et al., 2007 (link)). Unless noted, male and female larvae were used. Unless otherwise noted, the w1118 strain was used as a wild-type (WT) control.
Electrophysiology. Sharp-electrode recordings were made from muscle 6 in abdominal segments 2 and 3 of third-instar larvae using an Axopatch 200B or a Multiclamp 700B amplifier (Molecular Devices) as described previously (Davis and Goodman, 1998 (link)). Two-electrode voltage-clamp recordings were performed with an Axoclamp 2B amplifier. The extracellular HL3 saline contained the following (in mM): 70 NaCl, 5 KCl, 10 MgCl2, 10 NaHCO3, 115 sucrose, 4.2 trehalose, 5 HEPES, and 0.4 (unless specified) CaCl2. For acute pharmacological homeostatic challenge, larvae were incubated in Philanthotoxin-433 (PhTX; 10 or 20 μm; Sigma-Aldrich) for 10 min (Frank et al., 2006 (link)). EGTA-AM (25 μM in HL3; Invitrogen) was applied to the dissected preparation for 10 min. After EGTA application, the preparation was washed with HL3 for 5 min. The average single action potential (AP)-evoked EPSP amplitude (stimulus duration, 3 ms) or EPSC amplitude of each recording is based on the mean peak EPSP amplitude or EPSC amplitudes in response to 30 presynaptic stimuli unless specified. For each recording, we analyzed at least 100 miniature EPSPs (mEPSPs) to obtain a mean mEPSP amplitude value. Quantal content was estimated for each recording by calculating the ratio of EPSP amplitude/average mEPSP amplitude and then averaging recordings across all NMJs for a given genotype. EPSC data were analyzed in the same way.
The apparent size of the RRP was probed by the method of cumulative EPSC amplitudes (Schneggenburger et al., 1999 (link)), which was recently applied to the Drosophila NMJ (Hallermann et al., 2010 (link); Miśkiewicz et al., 2011 (link); Weyhersmüller et al., 2011 (link)). Muscles were clamped to −65 mV, and EPSC amplitudes during a stimulus train (60 Hz, 30 stimuli) were calculated as the difference between peak and baseline before stimulus onset of a given EPSC. The number of release-ready vesicles was obtained by back-extrapolating a line fit to the linear phase of the cumulative EPSC plot (the last 200 ms of a train) to time 0 (see Fig. 7A,B, bottom). The number of release-ready vesicles is then obtained by dividing the cumulative EPSC amplitude at time 0 by the mean mEPSC amplitude recorded in the same cell (see Fig. 7C, right). Because of initial facilitation/delayed depression of EPSC amplitudes during trains under conditions of reduced release probability (0.4 mM [Ca2+]e), the RRP at low [Ca2]e was assessed with longer trains (100 stimuli), and the RRP size estimate was based on a later linear phase of the cumulative EPSC data >1.2 s; see Fig. 7D). It is worth noting that the resulting RRP estimate at 0.4 mM [Ca2]e may overestimate the total RRP as a result of “recovery from depression” (Schneggenburger et al., 1999 (link); Weyhersmüller et al., 2011 (link)).
For fluctuation analysis (see Fig. 8), the mean EPSC amplitude (I) and the EPSC amplitude variance of each synapse at each extracellular calcium concentration ([Ca2]e; 0.3, 1, and 3 mM; [Mg2]e, 10 mm) was based on 40–150 consecutive EPSCs (interstimulus interval, 5 s). EPSC amplitude variance was calculated according to previous reports (Meyer et al., 2001 (link); Scheuss and Neher, 2001 ; Scheuss et al., 2002 (link)), and the quantal parameters N and q were obtained by fitting the EPSC variancemean data of each synapse with a parabola [Var(I)=I2/N + qI] that was constrained to pass through the origin. N and q values were then averaged across cells. The mean coefficients of variation of mEPSC amplitudes of all groups were similar (data not shown), and values for q and N were not corrected for variability in mEPSC amplitude distributions (Brown et al., 1976 (link); Silver et al., 1998 (link); Scheuss and Neher, 2001 ) or latency fluctuations (“jitter”) of individual quantal events (Taschenberger et al., 2005 (link); Weyhersmüller et al., 2011 (link)).
Ca2+ imaging. Ca2+ imaging experiments were done as described by Müller and Davis (2012) (link). Third-instar larvae were dissected and incubated in ice-cold, Ca2+-free HL3 containing 5 mm Oregon-Green 488 BAPTA-1 (OGB-1) (hexapotassium salt; Invitrogen) and 1 mm Alexa Fluor 568 (Invitrogen). After incubation for 10 min, the preparation was washed with ice-cold HL3 for 10–15 min. Single action-potential evoked spatially averaged Ca2+ transients were measured in type-1b boutons synapsing onto muscle 6/7 of abdominal segments A2/A3 at an [Ca2+]e of 1 mm using a confocal laser-scanning system (Ultima; Prairie Technologies) at room temperature. Excitation light (488 nm) from an aircooled krypton–argon laser was focused onto the specimen using a 60× objective (1.0 NA; Olympus), and emitted light was detected with a gallium arsenide phosphide-based photocathode photomultiplier tube (Hamamatsu). Line scans across single boutons were made at a frequency of 313 Hz. Fluorescence changes were quantified as ΔF/F = (F(t) — Fbaseline)/(FbaselineFbackground), where F(t) is the fluorescence in a region of interest (ROI) containing a bouton at any given time, Fbaseline is the mean fluorescence from a 300 ms period preceding the stimulus, and Fbackground is the background fluorescence from an adjacent ROI without any indicator-containing cellular structures. One synapse (4–12 boutons) was imaged per preparation. The average Ca2+ transient of a single bouton is based on 8–12 line scans. Experiments in which the resting fluorescence decreased by >15% and/or which had an Fbaseline > 650 a.u. were excluded from analysis. Data of experimental and control groups were collected side by side. The Ca2+ indicator was not saturated by single AP stimulation because repetitive stimulation induced an additional increase in peak ΔF/F (20 ms interstimulus interval; data not shown). The intraterminal Ca2+ indicator concentration (~50 μm was roughly approximated by an in vitro calibration (Müller and Davis, 2012 (link)).
Data analyses. Electrophysiology data and Ca2+ imaging data were analyzed with custom-written routines in Igor Pro 6.22 (Wavemetrics), and spontaneous mEPSPs were analyzed with Mini Analysis 6.0.0.7 (Synaptosoft). Ca2+ imaging data was acquired with Prairie View. Deconvolution microscopy data (see Fig. 2A,B) were acquired and analyzed with Intelligent Imaging Innovations (3i) software. Structured-illumination (SIM) data (Fig. 2C–E) was acquired with ZEN software (Carl Zeiss) and analyzed with custom-written macros in NIH ImageJ/Fiji (W. S. Rasband, National Institutes of Health, Bethesda, MD; Schindelin et al., 2012 (link)) and Igor Pro. All results are reported as average ± SEM. Statistical significance was assessed by Student’s t test unless otherwise specified.
Quantitative RT-PCR. Quantitative RT-PCR was performed as described by Berquist et al. (2010) (link). Primer probes were designed and developed by Applied Biosystems. The CNS was removed from 25 third-instar larvae per sample (three samples per genotype). Total RNA was isolated from each sample using the standard Trizol protocol. A DNase digestion removed potential DNA contamination (RQ1 RNase-free DNase; Promega). RT was performed (Taqman reverse transcription reagents; Applied Bioscience) using random hexamers and 1 μg of total RNA. A no-RT control was performed for each sample. Purified cDNA was used as a template in 30 μl of PCR reaction (TaqMan Universal PCR Master Mix, no AmpErase UNG; Applied Biosystems). This 30 μl reaction was divided into three 10 μl triplicates. In addition, one 10 μl no-RT reaction was used for each sample. The ABI Prism 7900 was used for all PCRs. Cycle threshold (CT) was determined by automated threshold analysis using SDS2.3 software according to the instructions of the manufacturer (Applied Biosystems). Comparative levels (between WT and mutant animals) were determined using the ΔΔCT method (Applied Biosystems User Bulletin 2). To determine whether the two amplification reactions have the same PCR efficiency, ΔCT (CT of experimental gene — CT of reference gene) values are determined across the serial dilutions and plotted against the log of the cDNA dilution. Briefly, the ΔΔCT method is as follows. ΔCT values are determined as explained above. Next, experimental animal (mutants) ΔCT values were subtracted from control animal (WT) ΔCT values to give the ΔΔCT. Finally, using the equation 2^([—]ΔΔCT) × 100, the percentage expression of each gene in experimental compared with control animals was calculated. Each experimental animal sample was compared to each WT sample (Applied Biosystems User Bulletin No. 2).
Synapse morphology. Third-instar larval preparations were fixed for 2 min in Bouin’s fixative (100%; Sigma-Aldrich) or for 15 min in PFA (4% in PBS) and incubated overnight at 4°C with primary antibodies. The following primary antibodies were used at the indicated dilutions: mouse anti-Bruchpilot (Brp), 1:100 (nc82; Kittel et al., 2006 (link)); and rabbit anti-Dlg, 1:5000. Alexa Fluor-conjugated secondary antibodies and Cy3-conjugated anti-HRP were used at 1:200 and 1:800, respectively (Jackson ImmunoResearch; Invitrogen), and applied for 2 h at room temperature. Larval preparations were mounted in Vectashield (Vector Laboratories). An Axiovert 200 inverted microscope (Carl Zeiss), a 100× (1.4 NA) Plan Apochromat objective (Carl Zeiss) and a cooled CCD camera (CoolSNAP HQ; Roper Scientific) were used for deconvolution microscopy, and data were analyzed as described previously (Pielage et al., 2008 (link)) (see Fig. 2A,B).
For SIM imaging, we used an ELYRA PS.1 system (Carl Zeiss) with an inverted LSM-710 microscope, a 63× (1.4 NA) Plan-Apochromat objective (Carl Zeiss), and an Andor iXon 885 EMCCD camera. Lateral resolution was ~110 nm, and axial resolution was ~300 nm. Z-stacks of whole NMJs at muscle 4 were taken with oversampling in xy (40 × 40 nm pixel size) and z (110 nm step size). Individual Brp puncta were identified with a threshold-based mask applied to the maximum projection of a Z-stack (Fouquet et al., 2009 (link)), and confluent puncta were removed manually. A fluorescence intensity line profile (1.2 μm long, 1 pixel wide) was obtained along the major and minor axis of a bounding ellipse that was fitted to each punctum. Diameter analysis was restricted to Brp puncta with a planar orientation with respect to the focal plane. These puncta were detected by a local minimum around the centroid of the ellipse in both line profiles. The maximum “peak-to-peak diameter” of a Brp punctum was calculated as the distance between the peaks of the line profile along the major axis of the ellipse. The “diameter at halfmaximum” was computed as the maximum distance between two points at 50% of the peak of the same profile (see Fig. 2E).
Publication 2012

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Publication 2012
Abdominal Muscles Action Potentials alexa 568 Argon Ion Lasers Axon Cellular Structures Cold Temperature Diffusion Fluorescence gallium phosphide Krypton Larva Light Neuromuscular Junction Oregon green 488 BAPTA-1 Quartz Radionuclide Imaging Sodium Chloride Synapses Transients
To analyze astrocytes, optical sections of Lck-GFP-expressing cells were collected using a Zeiss LSM 800 confocal-scanning microscope (405, 488, 561, and 640 nm diode lasers; 2 Gallium Arsenide Phosphide (GaAsP) detectors) with a 63× oil-immersed objective (Zeiss, Oberkochen, Germany) and ZEN software suite (ZEN 2.3 (blue edition), Zeiss). Frame size was set to 1,024 × 1,024 pixels, bit depths to 16-bit, averaging to 4×, and z-step size to 1 μm. The imaging was restricted to previously mentioned regions (as marked in Figures 1, 2 with the white box) around A/P: 1.5, 3.2, and -2.8 for NAc, PL, and BLA, respectively. Astrocytes were imaged only if present in their entirety within the chosen region. Astrocytes bordering other regions or astrocytes being cut during sectioning in a z-dimension were not imaged. Cases in which viral injections missed their intended targets were not analyzed.
After acquisition, raw images were transferred to an image-processing workstation and deconvolved using AutoQuant software (v. X3.0.4, MediaCybernetics). A blind deconvolution algorithm with 10 iterations was run on each z-stack. The deconvolved output stack was directly imported to Imaris software (v. 8.4.1, Bitplane, Zürich, Switzerland) which was used to generate a 3-dimensional reconstruction of each individual astrocyte. Each individual cell was then isolated and a surface was built around it using Lck-GFP innate fluorescence signal. Surface area and volume were extracted from each individually built astrocyte surface. A special masked channel was generated using these surfaces, completely isolating the astrocyte Lck-GFP signal from Lck-GFP background. The masked channel was then used to perform colocalization analysis between the astrocyte Lck-GFP signal and the Alexa 594 signal, representing the PSD-95 post-synaptic neuronal marker. To remove the background, threshold for the PSD-95 channel was manually selected by taking repeated measurements of unambiguous puncta of fluorescent signal intensity on multiple optical slices. An average of these measurements was used as a final threshold for the PSD-95 channel. A new colocalization channel was generated which provided percentage of region of interest (ROI) colocalized with the PSD-95 channel (ROI was set as a masked Lck-GFP channel). It should be emphasized that fluorescence colocalization analysis is not a tool for detecting molecular interactions, but rather for assessing co-registry of two or more fluorophores within a given voxel. Accordingly, colocalization of Lck-GFP and PSD-95 signals serves as a proxy of astrocyte proximity to the neuronal post- synaptic terminal. The latter was checked by automatically counting PSD-95 puncta above a predetermined threshold within assigned 25 μm × 25 μm × 25 μm box for a subset of samples. Slides and files were encrypted during acquisition and manipulation to assure unbiased processing.
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Publication 2018
Alexa594 Astrocytes Cells Fluorescence gallium phosphide Lasers, Semiconductor Microscopy, Confocal, Laser Scanning Neurons Presynaptic Terminals Reading Frames Reconstructive Surgical Procedures Visually Impaired Persons
The system for two-photon imaging in behaving mice is shown in Figure 1B. In vivo calcium imaging was conducted with a homebuilt two-photon microscope. For optimal detection sensitivity, we used a two-inch optical path (2′ lenses and hardware for Thorlabs, 2″ filters and dichroics from Semrock and Chroma), and gallium arsenide photomultiplier tubes (PMTs, 2× increased sensitivity; Hamamatsu #H7422P-40MOD) coupled to electronic shutters (Uniblitz) to prevent PMT damage. The microscope permitted rapid alternation between blue/green and green/red dichroic cubes, in order to isolate signals from CFP or GFP (blue), YFP or OGB1-AM (green), or sulforhodamine (red; FF01-457_50, FF01-542_50, and FF01-629_53, respectively; Semrock). We achieved high excitation efficiency using an Olympus 25× (NA 1.05) or Nikon 16× (NA 0.8) objective together with a Mai Tai laser (830 nm for YC3.6, 800 nm or 920 nm for OGB 1-AM) with group delay dispersion compensation (Deep See ‘pre-chirp’ module, Newport). Scanning galvanometers (Cambridge Technology) provided a frame rate up to 64 Hz (32 × 32 pixels/frame, pixel dwell time: 16 μs), which required passive cooling of mirrors and active cooling of mirror drivers (using a chiller, WAtronix).
To achieve complete three-dimensional imaging of small volumes, we scanned the objective in a trapezoidal pattern using a piezo-scanner (Physik Instrumente, P-721.LLQ; 48 μm displacement, 3.5 μm/plane; Figure 1B) controlled by a PC computer running custom-written Labview software, synchronized to output triggers sent from the two-photon acquisition computer. Image acquisition was controlled by a modified version of ScanImage (Pologruto et al., 2003 (link)) and MATLAB (The MathWorks). To maintain constant fluorescence excitation across multiple depths and to avoid passing laser power during the two ‘flyback’ frames, we often modulated laser power with a Pockels cell (e.g., between 16 and 13 mW in Figure 6), which was controlled by the MATLAB program.
Publication 2010
Calcium Cells Cuboid Bone Fluorescence gallium arsenide Hypersensitivity Lens, Crystalline Microscopy Mus Precipitating Factors pyridinium 3-methoxyestra-1,3,5(10)-trien-6-yl sulfate Reading Frames Trapezoid Bones
Laminectomy surgeries were performed as previously described21: Mice were anesthetized by an intraperitoneal injection of ketamine‐xylazine (87mg/kg/13mg/kg, respectively) or meditomidin 0.5mg/kg, midazolam 5mg/kg, and fentanyl 0.05mg/kg. Anesthesia was reapplied as needed (every 60–120 minutes). After a double dorsal laminectomy over the fourth lumbar, L4, and L5 segments, mice were suspended using compact spinal cord clamps.30 A well around the opening was built using 2‐4% agarose to hold aCSF (as above, glucose omitted or alternatively, in mM: 148.2 NaCl, 3.0 KCl, 0.8 Na2HPO4, 0.2 NaH2PO4, 1.4 CaCl2, and 0.8 MgCl2). An imaging window free from dura was established in the imaging area using a bent hypodermic needle. In some experiments, astrocyte death was verified by addition of ethidium homodimer‐1 (1:500, 0.56mg/ml stock; Invitrogen, Carlsbad, CA).
In vivo imaging of the lumbar spinal cord was performed as previously described.21, 31 Briefly, stacks were acquired using two‐photon microscopes (Olympus FV1000 MPE or FVMPE‐RS tuned to 910 nm for green fluorescent protein [GFP] alone and 980nm for GFP/OFP [orange fluorescent protein], equipped with a ×25/1.05 N.A. water‐dipping cone objective). All light was first filtered through a 690 nm short‐pass dichroic mirror. Fluorescence was collected using a G/R filter set (BA 495‐540, BA 570‐625) mounted in front of gallium arsenide phosphide photomultiplier tubes. Time‐lapse stacks were acquired at 3‐minute intervals for 3 hours (astrocyte loss) or at 15‐minute intervals for 6 hours (axon damage) with the following parameters: 35 images (zoom 1.8–2.0; pixel size: 0.28–0.38 µm) with 1‐µm z‐step. Diluted heat‐inactivated serum/plasma was applied every 30 minutes, supplemented with 20% of non‐heat‐inactivated HD serum as a complement source. Compared to experiments with acute brain slices, a higher concentration was needed, most likely because of restricted penetration and possibly the presence of complement blockers in vivo. Serum/plasma was present in the spinal opening for the initial 90 minutes of the experiment, after which it was replaced with aCSF (at 90 minutes and renewed every 60 minutes until the end of the experiment). Transient delivery of the NMO sample and complement source was designed to induce an acute, well‐defined injury and reduce consumption of sparse patient‐samples. In a set of control experiments using NMO1 samples and HD serum for up to 8 hours continuously, we found no qualitative difference between prolonged and transient applications, although, as expected, astrocyte depletion and the degree of axon swellings was more pronounced after longer exposure to patient IgG and complement. To confirm AQP4 specificity, we also performed experiments using a human IgG1 recombinant antibody rAb 7‐5‐53 reconstructed from a clonotypic plasma blast obtained from the CSF of an NMO patient (r‐AQP4‐IgG)9. r‐AQP4‐IgG was applied at 1.5 μg/ml of IgG supplemented with 20% of non‐heat‐inactivated HD serum. The rAb ICOS‐5‐2, a divalent human IgG1 antibody of unknown specificity, developed from a chronic meningitis patient, served as an isotype control (r‐ctrl‐IgG).
We have previously demonstrated that phototoxicity does not appear to have a measurable impact on the health of spinal axons under such imaging conditions.21, 22, 31, 32 Moreover, histological analysis confirmed NMO serum‐/plasma‐mediated astrocyte loss in the absence of oligodendrocyte loss in superficial spinal cord layers when no imaging was done (see below and cf. Fig 1G,H). Additionally, axonal pathology could be confirmed in experiments in which only an initial and a final image (at 6 hours) were taken (cf. Fig 4B). To rule out a spurious influence of the transgenic labeling of axons, we performed experiments without imaging using wild‐type (C57BL/6) and transgenic animals and antitubulin staining (see below). The analysis was performed by a scorer blind to the treatment conditions and genotypes and showed a comparable percentage of axonal swellings in spinal cords treated with NMO serum/plasma irrespective of genotype (data not shown).
Publication 2016

Most recents protocols related to «Gallium arsenide»

In comparison to the traditional nanoscale polishing model, the nanoscale polishing model employed in this study takes into account the microconvex structures present on the actual processed surface. The variables under investigation pertain to the crystallographic orientations of gallium arsenide (GaAs) surfaces during the nanoscale polishing process, specifically the 100 , 110 , and 111 crystallographic orientations. The nanoscale polishing model for GaAs crystals, as illustrated in Figure 1, can be conceptually divided into two main components: the equivalent spherical representation of the diamond polishing tool and the GaAs surface with its microconvex structures.
As depicted in Figure 1a, the equivalent diamond polishing particle had a diameter of 12 Å, consisting of 159,486 atoms, and possessed a lattice constant of 3.57 Å. The equivalent GaAs surface was composed of two parts: a substrate with dimensions of 300 Å × 220 Å × 50 Å and microconvex structures comprising one-quarter spheres at both ends and a central half-cylinder, all with a radius of 7 Å. The centers of the spherical structures at the two ends were located at (110 Å, 110 Å, 50 Å) and (190 Å, 110 Å, 50 Å), respectively. The position of the diamond particle was (−60 Å, 110 Å, 120 Å). The total number of gallium atoms was 104,963, and the total number of arsenic atoms was 103,420. The crystallographic structure of the GaAs crystal is depicted in Figure 1b, with a lattice constant of 5.654 Å.
The equivalent model for the gallium arsenide (GaAs) surface was divided into three distinct layers, as shown in Figure 1a: the Newtonian atomic layer situated at the top, where atomic motion follows Newton’s second law and is calculated using the velocity Verlet algorithm [47 (link)]; the isothermal atomic layer in the middle, which regulates temperature changes based on the Berendsen thermostat [48 (link)]; and the fixed atomic layer at the bottom, where atomic positions and velocities are constrained to prevent atoms from escaping the boundary. In the multilayer structure, the thickness of the Newtonian layer was 100 Å (70 Å for the radius of the microconvex body and 30 Å for the basal portion), the thickness of the thermostatic layer was 10 Å, and the temperature of the boundary layer was 10 Å. In addition to the potential energy parameters, to ensure convergence, the model set boundary conditions as well as energy minimization constraints so that the model was in a steady state before nanopolishing. To enhance computational efficiency in the simulation, this work employed periodic boundary conditions for the nanoscale polishing process. Specifically, periodic boundary conditions were applied in the y-direction to exploit the system’s symmetric properties, while nonperiodic boundary conditions were imposed in the x-direction (processing direction) and the z-direction (normal to the surface) to ensure a realistic representation of the system.
This study utilized the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) [49 (link)] for molecular dynamics simulations and employed the open visualization tool (OVITO) [50 (link)] for the visualization and postprocessing of the simulation results. The detailed parameters of the model are presented in Table 1. The simulation workflow included the prepolishing energy minimization process using the conjugate gradient method [51 (link)]. The model’s relaxation process was conducted under the NPT ensemble with a relaxation time of 100 ps. During this process, the model’s temperature gradually stabilized at room temperature (293 K) using the Nose–Hoover thermostat, and the potential energy converged to −5.30 × 105 eV. The temperature and potential energy changes during the relaxation process are illustrated in Figure 2. Following the relaxation of the model, the ensemble was switched to NVE, and the simulation of nanoscale polishing was performed. During the relaxation phase of the model, the temperature gradually stabilized at 293 K, and the total potential energy of the model gradually stabilized at −5.30 × 105 eV. In this process, the polishing speed of diamond abrasive particles was set at 100 m/s in the (0,1,0) direction, with a polishing distance of 30 nm. Before the calculations for stresses, RDF, and temperature and after the nanopolishing simulation, the model was subjected to a relaxation process, which resulted in a more stable surface structure after processing. To observe the stable structure of the surface after the nanoscale polishing process, a second relaxation process was conducted for the model, also with a relaxation time of 100 ps.
During the process of nanoscale machining, the selection of the interatomic potential energy is of paramount importance. In the case of polishing gallium arsenide (GaAs) workpieces, the interatomic potential energy functions in Ga-Ga, Ga-As, and As-As atoms are described by the Tersoff potential [52 (link)] and the parameters refers to [53 (link)]. The expression of the Tersoff potential function is shown in Equation (1). For the interatomic potential energy function in carbon–carbon (C-C) atoms in diamond polishing particles, the Tersoff potential was employed. The interatomic potential energy functions between carbon (C) atoms in diamond polishing particles and gallium (Ga) or arsenic (As) atoms in GaAs workpieces are governed by the Ziegler–Biersack–Littmark universal screening function (ZBL) potential [54 ]. The expression of the ZBL potential is presented in Equation (2), where the parameter inner is the distance where the switching function begins, and outer is the global cutoff for the ZBL interaction. The parameters inner of Ga-C and As-C are 31.0 and 33.0, respectively. The parameters outer of Ga-C and As-C are 12.0.
E=12iijVijVij=fc(rij)[fR(rij)+bijfA(rij)]
where Vij is the Tersoff potential energy, fR means the two-body term, fA means the three-body term, fC means the cutoff of the coefficient.
Vij=14πε0Z1Z2e2rijϕ(rij/a)
where Z1 , Z1 are the number of protons in the nucleus, e is the electron charge, ε0 is the permittivity of vacuum, and ϕ(rij/a) is the universal screening function of ZBL potential.
When evaluating surface residual stresses in polished gallium arsenide (GaAs) workpieces, the von Mises stress was calculated. It was determined based on the atomic stress tensor, taking into account the combined effects of six stress components, as expressed in Equation (3). When considering temperature variations during the nanoscale polishing process, the temperature change was represented using the average kinetic energy expression [48 (link)], as shown in Equation (4).
σvm(i)=12(σxx(i)σyy(i))2+(σyy(i)σzz(i))2+(σzz(i)σxx(i))2+6(σxy2(i)+σyz2(i)+σzx2(i))1/2
where σvm(i) denotes the von Mises stress, and σ(i) denotes an atomic stress tensor.
Ek=(3/2)kT
where Ek represents the average atomic kinetic energy, k denotes the Boltzmann constant which is 1.381×1023J/K , and T denotes the temperature.
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Publication 2024
Confocal microscopy has been described previously26 (link). Briefly, confocal microscopy was carried out on Zeiss AxioObserver inverted microscope with either LSM780-Quasar (34-channel spectral, high-sensitivity gallium arsenide phosphide detectors, GaAsP) or LSM880 confocal module controlled by the Zen software. All live cell imaging was carried out in a temperature/humidity/CO2-regulated chamber.
Publication Preprint 2024
All images were acquired with an LSM700 AxioObserver laser scanning confocal microscope equipped with a plan Apochromat 40x/1.3 Oil DIC M27 (Zeiss, Oberkochen, Germany) objective, using a gallium arsenide phosphide photomultiplier tube (GaAsp-PMT) detector controlled by Zen black software (version 8.0.7.273, Zeiss, Oberkochen, Germany). After acquisition, images were processed using the Fiji ImageJ2 software (National Institutes of Health, Bethesda, MD, USA).
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Publication 2024
This investigation employed a gallium-aluminum-arsenide (GaAlAs) diode laser device with 808 nm wavelength and 100 mW for 180 sec with 18 J output. A 0.35 cm-radius, 0.385 cm2 probe tip delivered the laser beam. 46.8 J/cm2 were applied. The probe lightly touched the labial gingiva over each central incisor's root. From the day orthodontic tooth movement stopped till euthanasia, LLLT was performed every two days.
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Publication 2024
Confocal and AiryScan imaging were performed using LSM880, LSM800 (Carl Zeiss Microscopy) microscopes with 63X/1.40 NA plan-apochromat oil immersion objective and 32-channel gallium arsenide phosphide (GaAsP)-photomultiplier tubes (PMT) area detector. For CLEM, light microscopy was performed with an Andor DragonFly microscope with either a PlanApo 63X/1.4 NA oil immersion objective or a 20X air objective and equipped with a Zyla cMOS camera. 405nm, 488 nm, 561 nm and 633 laser lines were used.
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Publication Preprint 2024

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NIS-Elements is Nikon's comprehensive software suite for microscopy and imaging applications. It provides a unified platform for controlling Nikon microscopes, cameras, and accessories, as well as advanced image acquisition, analysis, and processing capabilities.
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The LSM 710 is a laser scanning microscope developed by Zeiss. It is designed for high-resolution imaging and analysis of biological and materials samples. The LSM 710 utilizes a laser excitation source and a scanning system to capture detailed images of specimens at the microscopic level. The specific capabilities and technical details of the LSM 710 are not provided in this response to maintain an unbiased and factual approach.
Sourced in United States, United Kingdom, Germany
The FluoroDish is a specialized cell culture dish designed for fluorescence microscopy applications. It features a thin, transparent glass bottom that allows for optimal optical clarity and minimal distortion during imaging. The dish is suitable for a variety of cell types and can be used with standard fluorescence microscope setups.

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III-V semiconductor, gallium, arsenic, high-frequency electronics, high-power electronics, transistors, light-emitting diodes, laser diodes, PubCompare.ai, AI-driven research, LSM 880, LSM 780, LSM 800, ZEN software, confocal microscopy, NIS-Elements, LSM 710, FluoroDish