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Fiducial Markers

Fiducial markers are reference points used to align and register images or data from different sources.
They are commonly used in medical imaging, surgery, and other applications where precise spatial registration is required.
These markers can be physical objects, such as small metal beads or geometric shapes, or they can be anatomical landmarks identified in medical images.
Fiducial markers help to ensure accurate alignment and measurement, allowing for more effective analysis and decision-making in a variety of research and clinical settings.
Researchers can utilize PubCompare.ai to quickly identify the most relevant fiducial marker protocols and products to optimize their workflow and elevat their results.

Most cited protocols related to «Fiducial Markers»

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Publication 2016
Epistropheus Fiducial Markers IMod Reading Frames Tomography
Adult mice performing a two alternative forced choice task were filmed with a high-speed monochrome video camera (Flea3, Point Gray, CA). A fiber optic cable was attached to the mouse's head. The 3D position and orientation of the head was tracked in real-time using square fiducial markers from the ArUco tracking library (Garrido-Jurado et al., 2014 (link)). The video (0.24 Megapixel) was simultaneously compressed to a high-quality H.264 encoded file that was used for subsequent offline analysis of the behavior.
Publication 2015
Adult cDNA Library Fiducial Markers Head Mice, House
Analysis used ImageJ (NIH) and MATLAB routines. Since the microscope's sensor had a Bayer color filter13 (link), we zeroed all pixels in the red and blue channels and de-mosaiced GCaMP3 signals in the green pixels by Bayer interpolation using the MATLAB function demosaic(). Image rows were readout successively; to correct for the slightly variable number of LED pulses illuminating each row we normalized each demosaiced pixel by the mean intensity in its row. The illumination exhibited mild spatial non-uniformity, so we also normalized each pixel by the ratio of the mean intensity along its column to that of a reference column. We coarse-grained images to 240 × 240 pixels each the mean of four pixels at the finer density.
We used rigid image registration to correct lateral displacements of the brain. We created an image stack, F2(t), as the difference between the original stack, F(t), and a smoothed version of F(t) (20-pixel-radius smoothing filter). Within F2(t) we selected a high-contrast sub-region to provide a fiducial marker. To mutually register all frames of F2(t) we used an ImageJ plug-in based on the TurboReg algorithm24 (link). For each registered frame of F2(t) we applied the same coordinate transformation to F(t), yielding the registered stack F′(t).
Publication 2013
Brain Displacement, Psychology Fiducial Markers Light Muscle Rigidity Pulses Radius Reading Frames
Post-processing routines offered by ThunderSTORM can eliminate molecules with poor localization or other user-defined criteria, merge molecules reappearing in subsequent frames, remove duplicated molecules obtained in multiple emitter analysis (Huang et al., 2011 (link)), correct molecular positions for lateral drift of the sample using fiducial markers or using cross-correlation methods (Mlodzianoski et al., 2011 (link)) and correct the absolute axial position of the molecules when the data were acquired in multiple Z-stage positions (Huang et al., 2008 (link)). Users can also select a region of interest to export only the localized molecules and their parameters from the region. Post-processing includes a live preview.
Visualization involves creation of a new high-resolution image based on the previously obtained sub-diffraction molecular coordinates. Several methods have been implemented for visualization such as Gaussian rendering and a 2D histogram with an option of jittering (Křížek et al., 2011 (link)). ThunderSTORM also introduces a new visualization method based on an average shifted histogram approach (Scott, 1985 ). This method provides similar results as the Gaussian rendering, but is orders of magnitude faster.
Publication 2014
Fiducial Markers Reading Frames
We used previously analysed MEG data from 13 healthy subjects, where they formed part of studies on Parkinson's disease for which approval was obtained from the medical ethics committee of the VU University Medical Center. In these studies oscillatory power, as well as functional connectivity and network characteristics at the sensor level, were estimated and compared between healthy controls and demented and non-demented patients with Parkinson's disease (Bosboom et al., 2006, 2009 ).
All subjects gave written informed consent prior to participating. MEG data were acquired in the morning, using a 151-channel whole head MEG system (CTF Systems Inc., Port Coquitlam, Canada), situated in a magnetically shielded room (Vacuum-schmelze GmbH, Hanau, Germany). The data were sampled at 312.5 Hz, with a recording pass-band of 0–125 Hz, and a third-order software gradient was applied (Vrba and Robinson, 2002 ). Each session started with an approximately 5 minutes eyes-closed (EC) resting-state recording, followed by an approximately 5 minutes eyes-open (EO) recording. We only analysed the data recorded during the eyes-closed resting-state. Due to technical problems, 1–3 channels were discarded from the analysis (3, 3, and 7 datasets contained 148, 149, and 150 channels, respectively). For the construction of the beamformer weights, the eyes-closed data were band-pass filtered from 0.5 to 48 Hz, and after visual inspection, trials containing artefacts were removed. A time-window of, on average, 264.2 seconds (range: 175–360 s.) was used for the computation of the data covariance matrix. Broadband data were used for the estimation of the beamformer weights as this avoids overestimation of covariance between channels (Barnes and Hillebrand, 2003 (link)).
For each subject, an anatomical MRI of the head was obtained at 1 T (Impact, Siemens, Erlangen, Germany), with an in-plane resolution of 1 mm and slice thickness of 1.5 mm. Vitamin E capsules were placed at anatomical landmarks, the pre-auricular points and the nasion, to guide co-registration with the MEG data. In the MEG setting, three head position indicator coils were placed at the same fiducial locations, and these coils were activated at the start of each MEG acquisition. Head position and orientation were computed on the basis of the magnetic fields produced by these coils. Using these two corresponding sets of fiducial markers, the MEG and MRI coordinate systems were matched. The co-registered MRI was subsequently segmented, and the outline of the scalp was used to compute a multi-sphere head model (Huang et al., 1999 (link)) for the calculation of the lead-fields.
Publication 2012
Anatomic Landmarks Capsule Eye Fiducial Markers Head Healthy Volunteers Magnetic Fields Neoplasm Metastasis Parkinson Disease Patients Scalp Vacuum Vitamin E

Most recents protocols related to «Fiducial Markers»

Not available on PMC !

Example 1

A silicon patch is placed on the skin above the area to undergo evaluation. A skin conditioning liquid is applied for 1 minute through the opening. Next the fluorescent dye is added to the opening and allowed to incubate for an additional 4 minutes.

After the incubation period, the patch and the liquids are removed and wiped off.

A fiducial is placed adjacent to the area where the patch was placed as shown in FIG. 5. A fiducial marker or fiducial is an object placed in the field of view of an imaging system which appears in the image produced, for use as a point of reference or a measure. It may be either something placed into or on the imaging subject, or a mark or set of marks in the reticle of an optical instrument.

Photographic and fluorescent images of the skin are captured as shown in FIG. 6 and used for analysis.

All publications, patents and patent applications cited in this specification are incorporated herein by reference in their entireties as if each individual publication, patent or patent application were specifically and individually indicated to be incorporated by reference. While the foregoing has been described in terms of various embodiments, the skilled artisan will appreciate that various modifications, substitutions, omissions, and changes may be made without departing from the spirit thereof.

Patent 2024
Fiducial Markers Fluorescent Dyes Silicon Skin

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Publication 2023
Blood Vessel Brain Cells Cloning Vectors Displacement, Psychology Fiducial Markers Human Body Light Mus Muscle Rigidity Neurons Radius
Frames were aligned on the fly in SerialEM; CTF estimation, phase flipping and dose-weighting was performed in IMOD64 (link). Tilt-series’ were aligned in IMOD either using patch-tracking or by using nanoparticles (likely gold or platinum) on lamella surfaces as fiducial markers. Tomograms were binned 4x and filtered in IMOD or by using Bsoft65 (link).
Publication 2023
Fiducial Markers Gold IMod Platinum Reading Frames Tomography
Plunge freezing was performed using an FEI Vitrobot (Thermo Fisher)53 (link). For cryoET sample preparation of bacterial cells, 10 nm colloidal gold fiducial markers (Sigma-Aldrich) were added to each sample at a ratio of 1:5 (v/v) to allow tilt image alignments. For Vitrobot setup, a filter paper (Whatman, 47 mm diameter) and a Teflon sheet were installed for single-sided blotting in a pre-cooled chamber (4 °C) with 100% humidity. EM grids (R2/2, Cu 200 mesh; Quantifoil Micro Tools) were glow-discharged for 45 s at 25 mA by PELCO easiGlow discharger. Sample aliquots (4 μl) were applied to each grid, incubated for 15 s and blotted for 6.5 s, followed by immediate plunge freezing in an ethane:propane mixture (37% v/v ethane:63% v/v propane)54 (link). Grids were stored in liquid nitrogen. Before loading of the samples into the cryo-electron microscope, the grids were clipped. For sample preparation, all bacterial samples were pelleted, and OD600 was adjusted to 2–2.5 before blotting. If required, L. monocytogenes or E. faecalis cells were exposed to 1,024 nM purified Ply006 or Ply007, respectively, followed by plunge freezing at the desired timepoints. For imaging of phage adsorption, bacterial cultures were adjusted to an OD600 of 0.1. Samples (95 µl) were then mixed with 5 µl of purified phage lysate (1011 p.f.u. ml−1), followed by 5 min incubation at room temperature.
Publication 2023
Adsorption Bacteria Bacteriophages Cells Cryoelectron Microscopy Ethane Fiducial Markers Gold Colloid Humidity Nitrogen Propane Strains Teflon
Men in the experimental arm of 25 Gy in 5 fractions received a 5 Gy daily fraction starting in mid-week and given on a 7-day period followed by a HDR BB of 15 Gy in a single fraction. The MHF groups were comprised of men who received either 36 Gy in 12 fractions with a 3 Gy daily fraction or 37.5 Gy in 15 fractions with a 2.5 Gy daily fraction, all followed by the same HDR BB of 15 Gy in a single fraction. Biological doses in the UHF regimen were calculated to be equivalent to the standard treatment schedule assuming an alpha/beta ratio of 1.5 (see Supplementary Table 5). Short term androgen deprivation therapy (STADT), from 4 to 6 months, was administered per physician’s preference if Gleason score was 7 (4 + 3) or if there was presence of more locally extensive disease (>50 % positive biopsies) corresponding to RTOG protocol[15] .
IGRT technique using fiducial gold markers was required for all groups for daily match on prostate and first proximal cm of seminal vesicles. Intensity-modulated radiation techniques (IMRT) with volumetric-modulated arc therapy (VMAT) and inverse planning were used for all treatment groups. Dose constraints in the experimental arm were followed for organs at risk such as the bladder and rectum (see Supplementary Table 4). Minor deviations in the prescribed doses were permitted to meet those constraints. Energy used for EBRT was 6 MV. The clinical target volume (CTV) consisted of the prostate plus the first proximal cm of the seminal vesicles as identified on the planning CT scan at the time of treatment planning. The planning target volume was obtained by a 3D expansion of 5 mm of the previously described CTV. Pelvic lymph nodes were not included.
The HDR brachytherapy procedure has already been described before[16] (link). Under general anesthesia, 14 to 21 interstitial catheters were placed into the prostate gland through the perineum via ultrasound guidance. Dosimetric optimization was done using ultrasonographic-based planning (Oncentra Prostate v.4.2.2 brachytherapy software), allowing contouring of the prostate and organs at risk. The prescribed dose was 15 Gy. Details on dosimetric goals and constraints are provided in the supplementary appendix. Cystoscopy was performed to ensure the bladder and urethra integrity.
All EBRT plans were reviewed in a weekly quality assurance meeting with other radiation oncologists at our center. Target volumes, isodoses, organ doses constraints and DVH were validated by colleagues for compliance with protocol guidelines. A kilovoltage (KV) imaging marker match was performed daily and cone beam CT (CBCT) scans were acquired at each fraction in the experimental arm (weekly for the reference arms).
Publication 2023
Androgens Arm, Upper Biopharmaceuticals Biopsy Brachytherapy Catheters Cone-Beam Computed Tomography Cystoscopy Fiducial Markers General Anesthesia Gold Infantile Neuroaxonal Dystrophy Integrin alpha5beta1 Nodes, Lymph Pelvis Perineum Physicians Prostate Protocol Compliance Radiation Oncologists Radiometry Radionuclide Imaging Radiotherapy, Intensity-Modulated Rectum Seminal Vesicles Treatment Protocols Ultrasonics Urethra Urinary Bladder Volumetric-Modulated Arc Therapy X-Ray Computed Tomography

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Gold fiducial markers are small, spherical markers used in various imaging and measurement techniques. They serve as reference points to aid in the alignment, registration, and tracking of images or data. These markers are typically made of gold, a highly dense and stable material, which allows them to be easily detected in imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and electron microscopy. Gold fiducial markers provide a consistent and reliable way to establish spatial and temporal references within the imaged sample or specimen.
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The Vitrobot is a laboratory instrument used for the preparation of cryo-vitrified samples for electron microscopy. It is designed to rapidly freeze samples in a controlled environment, preserving their native structure for high-resolution imaging.

More about "Fiducial Markers"

Fiducial markers, also known as reference points or alignment markers, are critical tools used in various applications where precise spatial registration and image alignment are required.
These markers can be physical objects, such as small metal beads, geometric shapes, or anatomical landmarks identified in medical images.
They are commonly utilized in medical imaging, surgery, and other research and clinical settings to ensure accurate measurement and analysis.
In medical imaging, fiducial markers are used to align and register images from different modalities, such as MRI, CT, and PET scans, allowing for more effective diagnosis and treatment planning.
Researchers can utilize AI-powered tools like PubCompare.ai to quickly identify the most relevant fiducial marker protocols and products, optimizing their workflow and elevating their results.
Fiducial markers are also essential in microscopy and structural biology.
Techniques like cryo-electron microscopy (cryo-EM) often use markers like TetraSpeck beads or Quantifoil holey carbon grids to aid in image alignment and reconstruction.
These markers help to ensure accurate measurements and structural analysis, leading to better understanding of molecular mechanisms and drug discovery.
In surgical applications, fiducial markers such as gold markers can be implanted or attached to the patient's body to help guide the surgeon and track the position of structures during procedures.
This can improve the precision and efficacy of minimally invasive surgeries, such as those performed with the Multiplan system.
Researchers can further optimize their workflows by leveraging tools like MATLAB, Inveon PET/CT, and the Vitrobot Mark IV, which offer integrated support for fiducial marker-based image registration and analysis.
By incorporating these advanced technologies and techniques, scientists can elevate their research and clinical outcomes, leading to breakthroughs in a wide range of fields.