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Astigmatism

Astigmatism is a common refractive error of the eye in which the cornea or lens is irregularly curved, causing blurred vision.
This distortion in the eye's focusing power results in objects at all distances appearing out-of-focus.
Astigmatism can be corrected with eyeglasses, contact lenses, or refractive surgery procedures.
Proper diagnosis and management of astigmatism is important to ensure clear, comfortable vision and prevent progression of the condition.
Researchers can leverage PubCompare.ai to optimize their astigmatism studies by easily locating and comparing relevant protocols from literature, preprints, and patents to identify the best approaches and improve reproducibility.

Most cited protocols related to «Astigmatism»

Strong structure factors at low spatial frequencies can lead to CTF determination bias. Direct CTF determination at high frequency using the ‘1S2R’ procedure might fail in the case of large astigmatism due to severe oscillation of CTF. Two options are provided to deal with CTF determination at near-atomic resolution for micrographs that have very large astigmatism. They both make the ‘1S2R’ procedure more robust in such challenging case. One option is ‘resolution–extension (RE)’ and the other is ‘Bfactor-switch (BS)’. In the first method, Gctf determines initial CTF parameters using a relatively lower resolution ring (e.g. 50–10 Å by default). These parameters are passed as input to the next step of CTF refinement using a higher range (e.g. 15–4 Å). In the second method, Gctf uses a larger Bfactor (e.g. 500 Å2) to significantly down-weight high frequency for initial CTF determination. Then it switches to a smaller Bfactor (e.g. 50 Å2) to refine the previously determined CTF parameters. Either method shows its power to deal with some challenging cases (detailed results in Section 3.5). The combination (‘REBS’) can even work slightly better in certain cases.
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Publication 2016
Astigmatism
Approximate molecular positions can be determined, in combination with a variety of feature-enhancing low-pass and band-pass filters (Křížek et al., 2011 (link); Izeddin et al., 2012 (link)), by detection of local maxima, non-maximum suppression or calculation of the centroid of connected components of segmented objects. A feature exclusively unique to ThunderSTORM is the possibility of specifying the threshold for detection of molecules using a mathematical expression with quantities based on raw or filtered images. This allows computing the threshold value systematically for unknown input images with, for example, low signal to noise ratio, or where the global intensity slowly fluctuates. ThunderSTORM also offers a preview function to help visualize the detected molecules with the chosen combination of data processing settings.
Sub-diffraction localization of molecules is accomplished by computing the centroid of local neighborhoods, by a radial symmetry approach (Parthasarathy, 2012 (link)), or by fitting a suitable PSF model using standard or weighted non-linear least-squares methods, or using maximum-likelihood estimation (Mortensen et al., 2010 (link)). Users may also choose not to use any of the methods, thereby using the approximate localizations from the previous step. The uncertainty of the localization of molecules is calculated according to Thompson et al. (2002) (link), or according to Quan et al. (2010) (link) if EMCCD cameras are used.
Super-resolution 3D imaging is accomplished by an astigmatism approach (Huang et al., 2008 (link)). An integral part of this feature is the software’s calibration tool, in which a Z-stack of astigmatic images of sub-diffraction fluorescent beads is used to establish parameters for determining the axial position of each molecule.
Efforts to accelerate the acquisition process in SMLM have involved increasing the density of photoactivated fluorophores. In this case, ThunderSTORM uses an algorithm based on fitting of multiple emitters (Huang et al., 2011 (link)).
Publication 2014
Astigmatism
The accuracy of defocus determination is very important for high-resolution cryoEM reconstructions. Assuming the difference between the true defocus of a micrograph and the estimated defocus is Δz , the phase error Δγ(s) is calculated by Eq. (4): Δγ(s)=πλΔzs2
Derived from Eq. (4), the defocus-inaccuracy dependent phase error is proportional to frequency squared for a certain micrograph Eq. (5). Δγ(s1)Δγ(s2)=s12s22
Obviously from Eqs. (4), (5), an error in CTF determination, which can be ignored for a lower resolution reconstruction, might cause a critical error at high resolution. If the CTF is not properly determined, there are increasing phase errors against the frequency. The contrast of CTF is inverted for a 180 degree phase error. When this error is smaller than 90 degree, the probability to have the correct contrast of CTF is more than 50%. Gctf uses such a 90 degree criterion in order to guarantee at least half of information from the EM images after CTF correction. Based on this criterion, CTF phase error versus frequency for different defocus errors between 10 nm and 200 nm were plotted (Fig. 1a). The maximum allowed CTF defocus errors were plotted against frequency for three typical voltages used in cryoEM reconstruction s (Fig. 1b).
In practice, defocus inaccuracy is only one of the factors that cause CTF phase error. Magnification distortion, chromatic or comatic aberration (Glaeser et al., 2011 (link)), astigmatism inaccuracy, mechanical and beam induced movement of the samples, curvature or deformation of the carbon substrate (Shatsky et al., 2014 (link)), sample thickness (DeRosier, 2000 (link)) can all contribute to the phase error during an experiment. Data processing can also lead to large phase errors, especially at high frequency. Although Gctf uses this 90 degree criterion, it should be noted that the highest quality micrographs might need a stricter criterion in practice.
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Publication 2016
Astigmatism Carbon Cryoelectron Microscopy Movement Reconstructive Surgical Procedures
All data sets were recorded using 300 keV electrons. The γ-secretase, β-galactosidase, and mitoribosome data sets were recorded manually; the complex-I data set was recorded automatically using the EPU software from FEI. For all data sets, fields of views that showed signs of significant drift, charging, or astigmatism were discarded. For the γ-secretase data, this assessment was made after alignment using the algorithm by Li et al. (2013) (link). Movies on the Falcon-II detectors on the Polara and Titan Krios microscopes were intercepted using a system that was developed in-house (Bai et al., 2013 (link)). CTF parameters were estimated using CTFFIND3 (Mindell and Grigorieff, 2003 (link)), and the particles were picked in a semi-automated manner, using EMAN2 (Tang et al., 2007 (link)) for the mitoribosome, and RELION for the three other data sets. Selection of particles for the final 3D reconstruction was performed using reference-free 2D class averaging and 3D classification in RELION (Scheres, 2012 (link)), and the final maps before and after movie processing were calculated using RELION’s 3D auto-refine, followed by automated B-factor sharpening (Rosenthal and Henderson, 2003 (link)) and correction for the MTF of the detector. All resolutions were based on the gold-standard FSC = 0.143 criterion (Scheres and Chen, 2012 (link)), and FSC curves were corrected for the effects of soft masking by high-resolution noise substitution (Chen et al., 2013 (link)). Density figures were made using UCSF Chimera (Pettersen et al., 2004 (link)).
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Publication 2014
Astigmatism beta-Galactosidase Chimera Complement Factor B Electrons Gold Microscopy Microtubule-Associated Proteins Mitochondrial Ribosomes NADH Dehydrogenase Complex 1 Reconstructive Surgical Procedures Secretase
The CTF analytically describes the convolution applied to the images by the electron-optical system. Estimating its properties with high precision is essential for reversing the effects and obtaining high-resolution reconstructions43 (link). Whereas the methodology for measuring defocus and astigmatism from a micrograph’s power spectrum (PS) has been well-established12 (link), 44 (link), the recent increase in EM map resolution calls for a more localized approach. Local defocus variation of a seemingly flat sample can exceed 60 nm within a single micrograph, resulting in an out-of-phase CTF for some particles at resolutions beyond 3 Å. Attempts to address this issue by fitting the defocus per-particle have been made14 (link), but they require knowledge of particle positions, and lack robustness for all but the largest particle species. Even with a local smoothing approach, per-particle defocus requires high particle density to not lose accuracy compared to a global estimate. On the other hand, strong local irregularities in the specimen surface are almost never observed in tomographic volumes in vitro28 (link), suggesting per-particle precision might be unnecessary.
Publication 2019
Astigmatism Cone-Beam Computed Tomography Electrons

Most recents protocols related to «Astigmatism»

Participants were recruited from the movement disorder clinic of the Samsung Medical Center. The Institutional Review Board of Samsung Medical Center approved this study, and all subjects provided written informed consent. Patients were enrolled if they were diagnosed with PD based on the United Kingdom Brain Bank Criteria for PD38 (link). Patients with any of the following conditions were excluded: any neurologic disorder other than PD, systemic vasculitis, cardiovascular disease, musculoskeletal disease, end-stage renal disease, peripheral nervous system autonomic failure (diabetic neuropathy, Guillain-Barre syndrome, amyloid neuropathy, surgical sympathectomy, and pheochromocytoma, etc.), ocular pathology that could affect OCTA measurements (glaucoma, a refractive error >+6.0 diopters of spherical equivalent or <−6.0 diopters of spherical equivalent, astigmatism ≥ 3.0 diopters, epiretinal membrane, age-related macular degeneration, diabetic retinopathy, hypertensive retinopathy, retinal artery/vein occlusion, or optic neuropathy) or previous retinal surgery. Exact age- and sex-matched controls were recruited. The healthy controls were required to have normal visual acuity, normal intraocular pressure ≤21 mm Hg, and normal optic discs. The same exclusion criteria were applied to healthy controls and PD patients. Demographic and clinical data, including age, sex, and comorbid vascular risk factors (hypertension, diabetes mellitus, dyslipidemia), were collected for all enrolled participants. The UPDRS III39 (link), H&Y scale40 (link), LEDD41 (link), and MoCA42 (link) were investigated in all enrolled PD patients.
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Publication 2023
Age-Related Macular Degeneration Amyloid Neuropathies Arteries Astigmatism Blood Vessel Brain Cardiovascular Diseases Diabetes Mellitus Diabetic Neuropathies Diabetic Retinopathy Dyslipidemias Epiretinal Membrane Ethics Committees, Research Eye Glaucoma Guillain-Barre Syndrome High Blood Pressures Hypertensive Retinopathy Kidney Failure, Chronic Movement Disorders Musculoskeletal Diseases Nervous System Disorder Neural-Optical Lesion Operative Surgical Procedures Optic Disk Patients Peripheral Nervous System Pheochromocytoma Pure Autonomic Failure Refractive Errors Retina Retinal Artery Occlusion Retinal Vein Occlusion Sympathectomy Tonometry, Ocular Veins Visual Acuity
All patients underwent a comprehensive ophthalmological examination. The preoperative examination data included uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), intraocular pressure, axial length, and corneal astigmatism measured by the IOL Master 700 (Carl Zeiss, Jena, Germany) and corneal spherical aberration measured by the iTrace aberrometer (Tracey Technologies, Houston, TX, USA) in a 6-mm range. The Barrett Universal II formula was used to determine the IOL power, and the postoperative target diopter was set to mild myopia (0–0.5D).
Postoperative examinations were conducted 3 months after cataract surgery. The data included UDVA, CDVA, uncorrected intermediate visual acuity (UIVA) at a distance of 80 cm, uncorrected near visual acuity (UNVA) at a distance of 40 cm, using Snellen visual charts and then converted into logarithm of the minimum angle of resolution (logMAR) notation. Astigmatism, and postoperative ocular spherical aberration, coma, trefoil in a 4-mm range was also recorded. After correcting refractive errors, CSV-1000HGT (Vector Vision, Dayton, OH, USA) was applied to measure the contrast sensitivity (CS) with and without glare after adapting the patient to scotopic conditions. Spatial frequencies of 3, 6, 12, and 18 cpd (cycle/degree, cpd) were used, which were then converted into base 10 logarithmic units for statistical analysis. Objective visual quality parameters, that is, the objective scatter index (OSI), modulation transfer function (MTF), and Strehl ratio (SR) using an optical quality analysis system (OQAS, Visiometrics SL, Terrassa, Spain) were recorded. Subjective visual quality was evaluated using the Catquest-9SF questionnaire with four response options for perceived difficulty in vision (4 = very great difficulty; 3 = great difficulty; 2 = some difficulty; 1 = no difficulty), and the Quality of Vision (QoV) questionnaire wherein the patients rated 10 visual symptoms with four response levels (0, 1, 2, 3; higher scores indicated worse photic phenomena).
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Publication 2023
Astigmatism Cataract Extraction Cloning Vectors Comatose Contrast Sensitivity Cornea Corneal Astigmatism Glare Light Myopia Patients Physical Examination Refractive Errors Tonometry, Ocular Trefoil Vision Visual Acuity
In order to measure the VUV transmission, the crystals were cut and polished. Cutting was done using a Wiretec DWS100 with a 0.08 mm diamond coated wire. Facets cut with the wire saw were flat enough to be polished in a 1-step process. Polishing was done with a Buehler polishing machine and a Buehler SiC P4000 Silicon Carbide polishing paper. As CaF2 is hygroscopic and adsorbed water decreases transmisson, the polishing paper was wetted with isopropanol instead of water37 . All operations were performed with personal protective equipment in a radionuclide type C lab in well ventilated boxes.
Transmission measurements were performed using a dedicated setup. The light of a Hamamatsu L15094 D2 lamp is focused with a toroidal mirror onto the entrance slit of a McPherson 234/302 monochromator. The light is separated into its spectral components by the grating and is focused onto the exit slit. By rotating the grating the exit wavelength can be selected. The exit slit cuts out a small portion of the spectrum effectively creating a narrow wavelength light source with a linewidth down to 0.1 nm. The linewidth can be changed by changing the entrance/exit slit width (0.01–2.50 mm). This light travels through the crystal, and is recorded by a Hamamatsu R6835 head-on CsI photomultiplier tube (PMT) which is mounted close to the crystal.
Although conceptually simple, measuring a wavelength-dependent absolute absorption is burdened with several experimental challenges. These are connected with geometrical changes in the beam paths due to the presence of the sample (beam shifts and astigmatism), strong spectral intensity modulations and overall intensity instabilities in the VUV source (deuterium lamp). These lead to an overall systematic error on the following transmission measurements of ± 5%.
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Publication 2023
Astigmatism Deuterium Diamond Head Isopropyl Alcohol Light Radioisotopes Transmission, Communicable Disease
The study included 49 AD patients and 48 healthy controls (HCs) matched by age, gender from the Department of Neurology at Xiangya Hospital of Central South University, between March 2020 and May 2022. The subjects were between 50 and 80 years of age, and the AD patients met the diagnostic criteria of “probable AD” in the 2011 edition of the National Institute on Aging and Alzheimer’s Association (NIA-AA) guidelines (McKhann et al., 2011 (link)). The exclusion criteria of the study were as follows: (1) Best-corrected visual acuity (BCVA) >6.00 D or with astigmatism >3.00 D, and (3) intraocular pressure (IOP) >21 mmHg. All participants were free of other neurologic, psychiatric disorders, and systemic diseases that may affect retina (such as diabetes mellitus and uncontrolled hypertension), as well as ocular diseases (including cataract, glaucoma, uveitis, epiretinal membrane, age-related macular degeneration, macular hole, eye trauma, and any eye surgery). The Ethics Committee of Xiangya Hospital of Central South University approved this study, and all subjects signed written informed consent.
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Publication 2023
Age-Related Macular Degeneration Astigmatism Cataract Diabetes Mellitus Diagnosis Epiretinal Membrane Ethics Committees, Clinical Eye Injuries Gender Glaucoma High Blood Pressures Macular Holes Nervous System Disorder Ophthalmologic Surgical Procedures Patients Retina Tonometry, Ocular Uveitis Vision Visual Acuity
BCVA was tested at 3 m with a linear Konstantin Moutakis VA chart.23 (link) The decimal VA was then converted to the logarithm of the minimum angle of resolution (logMAR). BCVA best eye <0.65 decimal (>0.19 logMAR) was considered subnormal.
Refraction was tested under cycloplegia caused by a mixture of phenylephrine (1.5%) and cyclopentolate (0.85%), using an autorefractor (Topcon A6300/KR-8800; Topcon Corporation, Tokyo, Japan). Significant refractive errors were defined as follows: hyperopia ≥2.5 dioptres (D), spherical equivalents (SE), myopia ≥0.5 D SE, anisometropia ≥1.0 D SE and astigmatism ≥1.0 D.
Publication 2023
Anisometropia Astigmatism Cyclopentolate Cycloplegics Hyperopia MYP5 Ocular Refraction Phenylephrine Refractive Errors

Top products related to «Astigmatism»

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The Pentacam is a diagnostic device that captures a 3D image of the anterior segment of the eye. It uses rotating Scheimpflug camera technology to obtain detailed measurements of the cornea, anterior chamber, lens, and iris.
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The IOLMaster 500 is a non-contact optical biometry device designed for ocular measurements. It utilizes optical coherence technology to precisely measure axial length, anterior chamber depth, and corneal curvature. The IOLMaster 500 is a diagnostic tool used in pre-operative evaluations for cataract and refractive surgery.
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The IOL Master is a non-contact optical biometry device used to measure various parameters of the eye, including axial length, anterior chamber depth, and corneal curvature. It provides precise measurements that are essential for calculating the appropriate intraocular lens power for cataract surgery.
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The IOLMaster 700 is an optical biometry device designed for accurate measurement of the eye's components. It utilizes optical coherence tomography (OCT) technology to provide precise data on the axial length, anterior chamber depth, and corneal curvature of the eye.
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The Pentacam HR is an advanced corneal topography and anterior segment imaging system. It utilizes a rotating Scheimpflug camera to capture high-resolution, three-dimensional images of the anterior eye. The Pentacam HR provides detailed measurements of the cornea, anterior chamber, and other anterior segment structures.
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More about "Astigmatism"

Astigmatism is a common refractive error of the eye, characterized by an irregular curvature of the cornea or lens.
This distortion in the eye's focusing power results in blurred and out-of-focus vision at all distances.
Astigmatism can be corrected with various optical devices, including eyeglasses, contact lenses, and refractive surgery procedures.
Proper diagnosis and management of astigmatism is crucial to ensure clear, comfortable vision and prevent the progression of the condition.
Researchers can leverage advanced diagnostic tools like the Pentacam, IOLMaster 500, IOL Master, IOLMaster 700, and Pentacam HR to accurately measure and analyze the eye's optical properties.
Additionally, statistical software like SPSS can be employed to analyze data and optimize study designs.
The Orbscan II is another important tool used to map the corneal surface and identify irregularities, while the Vitrobot Mark IV and Falcon III direct electron detector can be utilized in specialized research applications.
By utilizing these technologies and leveraging the insights gained from the literature, preprints, and patents, researchers can optimize their astigmatism studies, improve reproducibility, and find the most effective solutions for managing this common refractive error.
PubCompare.ai is a valuable resource that can help researchers easily locate and compare relevant protocols, ultimately enhancing the quality and impact of their astigmatism research.