The largest database of trusted experimental protocols

IMod

IMod is a powerful artificial intelligence (AI)-driven platform that revolutionizes research reproducibility by empowering users to quickly locate the best protocols from literature, preprints, and patents.
Using advanced AI-driven comparisons, the IMod platform identifies the optimal protocols and products to accelerate your research.
Discover the power of IMod and take your work to the nect level.

Most cited protocols related to «IMod»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2016
Epistropheus Fiducial Markers IMod Reading Frames Tomography
Vitrified samples were imaged using a FEI Titan Krios microscope operated in EFTEM mode at 300 kV with a 70-μm C2 aperture and a 70-μm objective aperture. Cryo-ET data were collected using SerialEM (Mastronarde, 2005 (link)) on a K2 summit direct electron detector fitted behind an energy filter (Gatan Quantum) at a nominal magnification of 53,000× with a calibrated pixel size of 2.17 Å. The energy filter was set to remove electrons > ±10 eV from the zero loss peak energy. The K2 summit camera was operated in counting mode at a dose rate of ∼5–8 electrons/pixel/s on the camera except for the pre-illuminated images (in Figure 4A) where super-resolution mode was used. Each tilt image was dose-fractionated into three image frames, each with ∼0.5 e2 electron dose, and aligned during the acquisition itself using the “Combined Filter” in the Gatan Digital Micrograph software. Based on Thon ring appearance, we observed that this alignment becomes unreliable for high tilt angles. Therefore, we did not use frame alignment for tilt angles higher than 45°. For the HBV capsid sample, tilt series data were collected between ±60° with 3° tilt increments. Data were collected at 3.2–5.6 μm underfocus with a cumulative dose of 60 e2 equally fractionated over the tilt series. For DNA-origami molecules, data were collected between ±30° with 5° tilt increments. A defocus of −7 μm and a cumulative electron dose of 70 e2 was applied, and was equally fractionated over each tilt angle in the series.
During data collection on ultrastable gold supports, the hole was illuminated symmetrically with the center of the beam coinciding with the center of the hole, and where the beam encompassed the region of the gold support adjacent to the hole. Since the gold support scatters more electrons than the specimen, it is visible at very low electron doses. Therefore, a low-dose image (0.05 e2) was collected and used to center the hole using image shift before commencing data collection. Finally, because gold does not show Thon rings, the extra images for defocus estimation (cf. Figure 1C) were collected by imaging adjacent specimen holes on either side of the region of interest.
Fiducial particles in tilt series data were tracked automatically using IMOD (Kremer et al., 1996 (link)) and then inspected manually for errors. Corrections of tracking errors were made manually within IMOD, and the final aligned tilt series were produced in IMOD. Only in the comparison with strip-based CTF, the aligned tilt series data were CTF corrected by phase flipping in IMOD. Tomogram reconstructions from the aligned tilt series were conducted using weighted back-projection implemented in Tomo3D (Agulleiro and Fernandez, 2011 (link)). All sub-tomogram averaging and single-particle analysis refinements were performed in RELION with icosahedral symmetry imposed for HBV capsid particles. Additional details are provided in the Approach section.
Full text: Click here
Publication 2015
Capsid DNA Electrons Fatigue Gold IMod Microscopy Microscopy, Energy-Filtering Transmission Electron Reading Frames Reconstructive Surgical Procedures Single Molecule Analysis Tomography
CA tubes were assembled at 2 mg ml−1 in a buffer containing 1 M NaCl and 50 mM Tris-HCl, pH 8.0. Cryo-EM micrographs were collected on Kodak SO-163 films, on an FEI Polara microscope operated at 200 kV, and digitized at a pixel size of 1.09 Å. Iterative Helical Real Space Reconstruction13 (link) was used to estimate the helical parameters. The final refinement was performed using a previously established method12 . Cryo-ET tilt series of native HIV-1 cores were collected on a Gatan 4k × 4k CCD (charge-coupled device) camera by tilting the specimen from −70° to 66°, with a total dose of approximately 120 e2 and a defocus value around 8 µm. Three-dimensional tomograms were reconstructed using IMOD and TOMO3D software26 (link),27 (link). MDFF15 (link) was applied for 10 ns using NAMD2.9 (ref. 28 (link)) at 2 fs time-steps and with helical symmetry restraints. The MDFF-derived HOH structure was further equilibrated for 425 ns. On the basis of the equilibrated HOH model and a published pentamer structure 3P05 (ref. 10 (link)), a POH model was built and equilibrated for 1.5 µs.A total of 71 MDFF-derived hexamers were docked into the cryo-EM map and equilibrated for 125 ns. Simulations of the complete HIV-1 capsid (64 million atoms, 100 ns) were performed with NAMD. Virus particles were derived by transfection of the full-length HIV-1 proviral construct R9 and mutant derivatives into 293T cells, and infectivity was quantified by titration on HeLa-P4 cells. Capsid stability was determined by measuring the amount of CA protein present after purification of HIV-1 cores, and the rate of uncoating was analysed by quantifying CA release from purified cores at 37 °C. For crosslinking analysis, particles were pelleted from the supernatants of transfected 293T cells, analysed by non-reducing SDS–PAGE, and CA was detected by immunoblotting.
Publication 2013
Buffers Capsid Proteins derivatives HEK293 Cells HeLa Cells Helix (Snails) HIV-1 IMod Medical Devices Microscopy Proteins Proviruses SDS-PAGE Sodium Chloride Titrimetry Tomography Transfection Tromethamine Virion
The reconstruction procedure from IMOD was rewritten from FORTRAN into C++ and was extended to allow reading from multiple tilt images based on the precomputed defocus array. To decrease memory requirements, the original FORTRAN implementation splits the reconstructed volume as well as the tilt-series along the y dimension and keeps in memory only as many xz slices and corresponding rows from tilt-series as can be fit. After the slices are reconstructed they are written out and next batch is loaded. In our implementation we keep only one xz slice, and one row from each CTF-corrected tilt image in memory.
The workflow for 3D-CTF correction was designed to fit within the standard workflow of IMOD eTomo, including parameter setup as well as the orientations of tilt-series and the final tomogram. Instead of using the strip-based correction (Xiong et al., 2009 (link)) provided by IMOD, we provide our own implementation of a simple CTF correction done by either phase-flipping or multiplication, and which can take account of astigmatism. Instead of performing row-wise radial filtering within the weighted back projection reconstruction procedure (as done in IMOD), we filter the CTF-corrected images using the same radial filter prior to the reconstruction. This change allows filtering to be parallelized on the level of tilt-series without altering the outcome of the reconstruction.
Source code for NovaCTF is distributed under an LGPL license and can be downloaded including installation scripts from: https://www.embl.de/research/units/scb/briggs/services/index.php or from https://github.com/turonova/novaCTF.
Full text: Click here
Publication 2017
Astigmatism IMod Memory Mental Orientation Reconstructive Surgical Procedures Tomography

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2015
Buffers Carbon Chaperonin Copper Epistropheus Ethane Freezing Gold IMod Microscopy Microscopy, Phase-Contrast Nitrogen Tomography Virion

Most recents protocols related to «IMod»

Cryo-ET data of FIB-milled cells was acquired on three different Titan Krios microscopes (Thermo Scientific), all equipped with a K2 direct electron detector and a BioQuantum energy filter (Gatan). SerialEM was used for acquisition.28 (link) To identify the positions of the lamellae, low-magnification montages of the central part of the grid were acquired , with the detector operated in linear mode. Then2.3, 5.1 or 5.5 nm pixel size montages of individual lamellae were taken and used for finding interfaces between LDs. Tilt series were acquired from 0° to ±60° (maximum) using a dose-symmetric acquisition scheme,34 (link) 1° increment and a pixel size of 3.7, 3.5 or 3.4 Å. The detector was operated in counting mode. Images were acquired in a tilt group size of 4. The target defocus was set to −5 μm. The dose per tilt series image was adjusted to 1–1.2 e/A2 and the target dose rate at the detector was kept around 4 e/px/s. For a subset of the tilt series, we used exposure fractionationation into 3 frames per tilt image. Alignment of exposure fractionated frames was performed in IMOD using alignframes. Tilt series were aligned in IMOD using patch tracking.26 (link),27 (link) Final tomograms were reconstructed at 7.5, 7.1 or 6.7 Å pixel size using SIRT reconstruction with 10 iterations. For presentation in figure panels and movies, a median filter was applied to virtual slices. The cryo-EM data presented in the manuscript for Cidec-EGFP was obtained from 30 cells expressing Cidec-EGFP, plunge-frozen on at least 8 different days, and 15 tomograms containing LD interfaces were acquired on 10 of these cells. The cryo-EM data presented for Cidec was obtained from 15 cells expressing Cidec, frozen on 3 days, and 7 tomograms containing LD interfaces were acquired on 7 of these cells. The cryo-EM data presented of cells not expressing Cidec-EGFP was obtained from 5 cells frozen on 2 different days, and one representative tomogram, showing an LD but not containing LD interfaces, is included in the manuscript. Three of the tomograms of cells expressing Cidec-EGFP were previously used in unrelated projects published before.16 (link),31 (link)
Full text: Click here
Publication 2023
Cells Electrons Freezing IMod Microscopy Reading Frames Reconstructive Surgical Procedures Sirtuins Tomography
LD diameters used to calculate the ratios shown in Figure 3D were estimated in IMOD applying imodcurvature to a model consisting of points picked along the LD monolayer in a single virtual tomographic slice. We assumed that LDs are spherical in shape as in the analysis of FM images (see above). If the equatorial plane of the LD appeared to be included in the tomogram, a single imodcurvature readout from the corresponding virtual slice was used to estimate the LD diameter. If the LD segment contained in the tomographic volume did not include the equatorial plane, two imodcurvature radii a and b were determined on two different virtual slices spaced in z-direction by z nm. The LD radius r was then calculated using the formula: r=(a2+(a2b2z22z)2) . In one case of a large LD forming two interfaces with smaller LDs, the radius of the large LD could not be estimated because the fraction of the LD contained in the tomogram was too small. The two corresponding interfaces were therefore excluded from the analysis in Figure 3D.
Full text: Click here
Publication 2023
Cone-Beam Computed Tomography IMod Radius Tomography
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).
Full text: Click here
Publication 2023
Fiducial Markers Gold IMod Platinum Reading Frames Tomography
Tomograms were bandpass filtered using Bsoft. Segmentations of the filtered tomograms were guided by a tensor voting algorithm using TomoSegMemTV77 (link),78 . The parameters were optimised for each dataset, respectively. Clusters containing the IMC segmentations were manually extracted by visual analysis. The clusters were then converted to a 3D point cloud and further processed using the Open3D library78 . Statistical outlier analysis was used to remove excess noise from the segmentations. Subsequently, the DBSCAN algorithm was used to separate individual membrane sections and the outer side of the IMC was selected manually for subsequent distance measurements. The angle φIMC was measured between two vectors for each SPMT particle: a vector of the SPMT particle X axis and a vector from the particle centre to the nearest segmented IMC coordinate (roughly equivalent to IMC normal vector intersecting the SPMT particle). Particles outside segmented membrane patches were excluded. Measurements from individual microtubules were reduced to a median value for plotting and statistical analyses.
The requirement for a clear membrane density for automated segmentation substantially reduced the number of microtubules available for analysis. Thus, due to the rarity of SPMTs in merozoites, doublets in gametocytes and minus termini in ookinetes, a small number of tomograms were segmented manually in IMOD.
Full text: Click here
Publication 2023
Cloning Vectors Epistropheus IMod Merozoites Microtubules Tissue, Membrane Tomography
EM maps and atomic models were visualised with UCSF (University of California San Francisco) Chimera72 (link) or UCSF ChimeraX73 (link). Computational sections were generated in IMOD.
Full text: Click here
Publication 2023
IMod Microtubule-Associated Proteins

Top products related to «IMod»

Sourced in United States, United Kingdom, Netherlands, Germany, China, Sweden
The Titan Krios is a high-performance transmission electron microscope (TEM) designed for cryo-electron microscopy (cryo-EM) applications. It provides high-resolution imaging and data acquisition capabilities for the study of biological macromolecular structures.
Sourced in United States, France, United Kingdom
The K2 Summit is a high-performance laboratory equipment designed for precise analysis and measurement. It features advanced capabilities for accurate data collection and analysis, enabling researchers and scientists to conduct their work efficiently and effectively.
Sourced in United States, Netherlands, Germany, Sweden
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.
Sourced in United States, France, Switzerland
Amira software is a comprehensive data visualization and analysis platform designed for scientific and medical imaging data. It provides advanced tools for 3D reconstruction, segmentation, and visualization of complex datasets from various imaging modalities.
Sourced in United States, United Kingdom
The K2 Summit is a direct electron detector designed for high-resolution electron microscopy. It captures detailed images by directly recording the path of individual electrons, without the need for an intermediate scintillator or optical coupling. The K2 Summit provides fast frame rates and high detective quantum efficiency, enabling advanced imaging techniques in various scientific and industrial applications.
Sourced in United States, Germany, Netherlands, United Kingdom, Czechia, Israel
The Vitrobot Mark IV is a cryo-electron microscopy sample preparation instrument designed to produce high-quality vitrified specimens for analysis. It automates the process of blotting and plunge-freezing samples in liquid ethane, ensuring consistent and reproducible sample preparation.
Sourced in Germany
The Polara G2 is an electron microscope designed for high-resolution imaging and analysis of samples at the nanoscale level. It provides advanced imaging capabilities, including low-voltage transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM), enabling detailed visualization and characterization of a wide range of materials and samples.
Sourced in United States, Netherlands, Japan, Germany
The Tecnai F20 is a high-performance transmission electron microscope (TEM) designed for advanced materials research and nanoscale imaging. It features a field emission electron source, providing high brightness and coherence for enhanced resolution and contrast. The Tecnai F20 enables detailed examination of a wide range of samples at the atomic scale.
Sourced in United States, United Kingdom, Germany, Canada, Japan, Sweden, Austria, Morocco, Switzerland, Australia, Belgium, Italy, Netherlands, China, France, Denmark, Norway, Hungary, Malaysia, Israel, Finland, Spain
MATLAB is a high-performance programming language and numerical computing environment used for scientific and engineering calculations, data analysis, and visualization. It provides a comprehensive set of tools for solving complex mathematical and computational problems.
Sourced in Japan, United States, Germany, United Kingdom, China, France
The JEM-2100 is a transmission electron microscope (TEM) manufactured by JEOL. It is designed to provide high-quality imaging and analysis of a wide range of materials at the nanoscale level. The instrument is equipped with a LaB6 electron source and can operate at accelerating voltages up to 200 kV, allowing for the investigation of a variety of samples.

More about "IMod"

IMod is a revolutionary AI-powered platform that is transforming research reproducibility.
It empowers users to quickly and effortlessly locate the optimal protocols from a vast repository of literature, preprints, and patents.
Leveraging advanced AI-driven comparisons, IMod identifies the most effective protocols and products, accelerating your research and driving it to new heights.
This innovative solution harnesses the power of artificial intelligence to streamline and enhance the research process.
By automating the identification of the best protocols, IMod saves researchers valuable time and resources, allowing them to focus on their core objectives.
The platform's sophisticated algorithms analyze a wealth of data, including information from renowned technologies such as the Titan Krios cryo-electron microscope, the K2 Summit direct electron detector, and the Vitrobot sample preparation system.
It also integrates with powerful software like Amira, MATLAB, and the JEM-2100 electron microscope, ensuring seamless integration with the tools researchers already use.
With the power of IMod, researchers can discover the optimal experimental conditions, reagents, and techniques, whether they are working on structural biology projects, immunology research, or any other field.
The platform's intuitive interface and user-friendly design make it accessible to researchers of all experience levels, empowering them to take their work to the next level.
Discover the transformative potential of IMod and revolutionize your research today.
Explore the platform's capabilities and experience the future of research reproducibility.