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Imaris x64

Manufactured by Oxford Instruments
Sourced in Switzerland

Imaris x64 is a software solution for 3D and 4D image visualization and analysis. It provides advanced tools for the processing and exploration of large, high-resolution image datasets from a variety of microscopy techniques, including confocal, multiphoton, light sheet, and electron microscopy.

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7 protocols using imaris x64

1

Quantifying Chromosome Asynapsis in Germ Cells

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Immunofluorescence images for p-HTP-1(S325), HIM-3, and SYP-1 (asynapsis assays) were captured with an inverted laser scanning confocal microscope (Zeiss LSM 800). Images were acquired as Z-stacks (0.19 μm) and deconvolved using the AutoQuant X3 deconvolution software. Images were processed in Fiji (ImageJ) for quantitation. The top five stacks of DAPI, HIM-3, and SYP-1 were projected maximally and overlaid in Adobe Photoshop to display the figures presented. Asynapsed germ cells from the mid-pachytene region were counted manually by assessment of colocalization between HIM-3 and SYP-1; cells where SYP-1 did not accumulate and colocalize with HIM-3 were termed “asynapsed.” Percentage of these cells was calculated as follows: asynapsed germ cells/total number of germ cells × 100. The length of the asynapsed chromosome stretch was assayed using the Filaments module in the Imaris imaging software (Imaris x64, version 9.5.1; Oxford Instrument). The Filaments module was used to trace the asynaped stretch of the chromosome (with loss of SYP-1 staining), upon a DAPI channel “mask,” which highlighted only the chromosomes. The data were measured over multiple Z-stacks, allowing for a measure along the three-dimensional configuration of the chromosome.
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2

Quantitative Analysis of Synaptic Puncta

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Puncta were quantified from three-dimensional surface projections in Imaris x64 (v9.9.1; Oxford Instruments) from confocal z-stacks captured with identical settings and z-depth (16.9 μm depth, 89 planes per transverse section). Researchers were blind to genotype throughout the surface-generating process. First, fluorescent channels underwent deconvolution. Next, surfaces were rendered beginning with a morphological split based on average puncta width of 0.4 μm, without smoothing. Next, an automatic background subtraction was applied that was toggled by the user to reflect input fluorescence. Surfaces were then generated using the maximum quantity of seed points of 0.3 μm width and then puncta were filtered at a lower area threshold of 0.16 μm2, based on previous literature (Fantuzzo et al., 2017 (link)). Resultant surfaces were compared with original fluorescence to ensure proper fit. Puncta outside of the spinal cord were manually removed. Area (x by y planes) measurements for vGAT and Gephyrin were recorded, as well as the center plane area of each spinal cord for normalization. Finally, the apposition of synaptic puncta in each section was calculated by filtering for vGAT-Gephyrin and Gephyrin-vGAT puncta within a proximity <250 nm (Dani et al., 2010 (link); Shen et al., 2020 (link)), which was also normalized to the relative size of the spinal cord.
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3

3D Visualization of Beta Cells

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Airyscan images were used to create 3D representations of beta cells (v9.6 Imaris x64, Oxford Instruments, UK). Thresholds were set above background and the colocalisation module was used to create a new channel to visualise the overlap between two markers. Iso-surfaces were created to visualise the fluorescent signal of HLA-II and Hoechst within 3D space. A 3D approximation of the cell outline was created based on the insulin signal.
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4

Microscopic Analysis of NP Adherence

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Microscopic analysis of the NP adherence experiments in the 96-well microtiter plates was performed with the More™ fluorescence microscope system (FEI Life Sciences, formerly TILL Photonics, Gräfelfing, Germany) using the following settings: Oligochrome light source, objective lens 10×, filter set ET480/40×, T495LPXR, ET535/50m (FITC). Single wells were scanned by applying the Relative Tile experiment setting where a tile of 5 by 6 images around a selected position is acquired. The individual tiles were fused to one relative tile by the Live Acquisition Software (version 2.22, FEI Life Sciences Munich GmbH, Germany). The total fluorescence intensity in the relative tile was determined by ImageJ (version 1.46a, NIH, Bethesda, USA). The statistical analysis was performed with Graph Pad Prism (version 5.04, Graph Pad Software, Inc., La Jolla, USA).
The cells on the transwell filters were microscopically examined with the same settings as above, except for the objective lens which was changed to 40× and the additional use of a second filter set (ET620/60x, T660LPXR, ET700/75m; Cy5). With both filter sets (FITC and Cy5) z-stacks were recorded over 20 frames with 1 µm z-slices by using Live Acquisition Software. After processing the 2D image sets in ImageJ the 3D rendition was performed with Imaris x64 (version 7.4, Bitplane AG, Zurich, Switzerland).
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5

Microscopic Visualization and 3D Reconstruction

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Specimens were analyzed and light micrographs were taken on an Olympus BX53 microscope equipped with an Olympus DP73 camera and the software cellSens Standard, Version 1.11 (Olympus Corporation, Shinjuku, Tokyo, Japan). Confocal laser scanning microscopy was conducted using a Leica DMI6000 CFS microscope equipped with a Leica TCS SP5 II scanning system (Leica Microsystems, Wetzlar, Germany) and software LAS AF, Version 2.6.0 or 2.6.3. The autofluorescent signal was scanned in fluorescence mode using a 405 nm laser and gene expression signal was scanned in reflection mode using a 633nm laser (see [44 (link)–47 (link)]). The obtained confocal image stacks were processed and used to prepare 3D reconstructions of the gene expression signal as well as 3D renderings of larval tissue with Imaris x64, Version 7.3.1 (Bitplane AG, Zurich, Switzerland). The same software was used to create video files of larval stages including gene expression patterns. Generated images were finally processed with Adobe Photoshop CS6 Extended, Version 13.0.1 x64, and Adobe Photoshop CC 2015 (Adobe Systems). Figures and schematic drawings were generated with Adobe Illustrator CS5, Version 15.0.0 and Adobe Illustrator CC 2015, Version 1.0 (Adobe Systems).
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6

Time-Lapse Imaging of Cell Cultures

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Cells were cultured on a φ35-mm glass-bottom dish, and time-lapse imaging was performed every 15 min using a BioStation IMQ (Nikon, Tokyo, Japan), which is a small incubation unit equipped with a humidified imaging chamber set at 37 °C, 5% CO2 in air and with a microscope. Time-lapse images were processed by Imaris x64 (ver. 7.6.5.; Bitplane AG, Zurich, Switzerland).
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7

Muscle Injury and Regeneration in Mice

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For sterile muscle injury, mice were anesthetized with isoflurane and 50 μL cardiotoxin (12 × 10–6 M, 217503, Millipore) injected in the TA muscle. Muscles 8 days after injury were snap frozen in nitrogen-chilled isopentane. 8 μm cryosections were cut and stained with H&E. For each analysis, more than 10 slides (per condition/group) containing 6 muscle sections/sample were used, and myofibers in the injured area were counted and measured with a Mirax digital scanner and HALO software (68 (link)). For adult mouse studies, muscles were fixed in 10% formalin and embedded in paraffin for sectioning. Laminin staining (RB-082, Thermo Fisher Scientific) was used to outline fibers, and picrosirius red was used for collagen accumulation. Image analysis was performed using ImarisX64 software (Bitplane AG), and fiber sizing was calculated using minimal Feret’s diameter (69 (link)). For after weaning juvenile mouse studies, cryosections from soleus muscles were mounted in ProLong antifade mountant with DAPI (Thermo Fisher Scientific). Fiber type, size, and central nucleation were quantified with analysis via SMASH (70 (link)) and ImageJ (NIH). Antibodies used were mouse anti-MHC2A (1:50, SC-71, Developmental Studies Hybridoma Bank) and mouse anti-eMHC (1:10, BF-45, Developmental Studies Hybridoma Bank).
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