Feeding Both Filament And Electrons Through A Custom D-Sub Connector

Feeding Both Filament And Electrons Through A Custom D-Sub Connector

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We sometimes forget that 3D printers are just CNC platforms with a hotend attached, and there a whole range of alternative tool heads to use. [Jón Schone] has been doing exactly that, and needed a way to quickly disconnect his hotend completely from his printer, so he 3D printed his own custom D-sub connector for both filament and wires. (Video, embedded below.)

a: Another example of CIS in ghost cell showing small tail fibre-like crown protrusions (blue arrowheads; 18 CISs observed in eight individual tomograms). Bar, 10 nm. b: Fourier Shell Correlation (FSC) analysis of two half-datasets of subtomogram average of CISs within ghost cells resulted in a resolution of ~37 Å. c-e: Isosurface views and perpendicular slices through the crown region (right, height indicated with dotted lines) of subtomogram averages of CISs from intact Anabaena filaments (d) and of CISs from ghost cells (c), both filtered to 40 Å resolution. A difference map (e; same height of slices as shown in c/d, right) revealed, that the only major difference were the small tail fibre-like crown protrusions that were only observed in the ghost cell CIS average. See Methods section for details on particle numbers. Bars, 10 nm. f-g: Small tail fibre-like protrusions (blue arrowheads) could also be detected in individual 2D micrographs (12 examples over 52 baseplate particles in a subset of 10 micrographs) of purified CISs (f) or in a low-pass filtered SPA map (g). These small tail fibres showed a high flexibility and might correspond to Cis19 domains which could not be modelled. See also Fig. 2e for fitting of atomic model of Cis19 trimer in in situ structure. Bar in (f), 100 nm.

About 130 adhesive organs are present in adult M. lignano (see also [62]). Scanning electron microscopy revealed that each organ consists of an array of dense microvilli (Figure 2). A view onto the tip of the papillae showed the ring-like arrangement of the distal-most tips of the microvilli collar, which was closed above the tips of the adhesive and releasing glands (Figure 2D-G). Occasionally, small droplets of secreted material can be seen on the tip of an adhesive organ (Figure 2E). The microvilli were composed of bundles of actin filaments and were visualized with phalloidin staining and confocal (Figure 2H-J) and superresolution microscopy (STED) (Figure 2K, L). Lateral views on the papillae revealed labelling of individual microvilli (Figure 2K, L). In sagittal TEM sections of adhesive organs their internal organization became obvious. Each adhesive organ was comprised of three cell types, i.e. one adhesive gland cell - also referred to as the viscid gland cell [33], one releasing gland cell, and one anchor cell (Figure 3). The anchor cell is a modified epithelial cell with long microvilli that were closely attached next to each other forming a palisade-like envelope (Figure 3A, F, G) for the necks of the adhesive and releasing gland cells. The microvilli of the anchor cells protruded from the epidermis and surrounded the distal-most tips of both the adhesive- and releasing gland cells (Figure 3A-C, G). Within the microvilli collar of the anchor cell the adhesive gland cell was always located at the ventral side, and the releasing gland cell at the dorsal side, respectively (Figure 3A, B; see also Additional file 1). The anchor cell lacked cilia, ultrarhabdites (epitheliosomes), and a terminal web (Figure 3B). The cell body of the anchor cell lay in the parenchyma below the body wall musculature. The necks of the adhesive- and releasing gland cells penetrated the anchor cell and emerged through the anchor cell body forming - surrounded by the microvilli collar - the adhesive papillae on the body surface. The cell bodies of the adhesive gland cells (Additional file 2A) lay further anterior in the tail plate at the level of the stylet and the prostatic glands. The cell bodies of the releasing gland cells (Additional file 2B) were located posterior to the adhesive gland cell bodies, although there was a region of overlap (Figure 3A, Additional file 2C). In serial TEM sections of one specimen no cell bodies of releasing- or adhesive gland cells were present up to 16 μm from the tip of the tail. Between 17 to 23 μm from the tip of the tail only releasing gland cell bodies were found. In the region from 24 μm to 37 μm both, releasing- and adhesive gland cell bodies were present. From 37 μm onwards to 83 μm from the tip of the tail only adhesive gland cell bodies existed.

A filament designed to have its terminals connected to a source of current, the filament being heated by the current passing through it and effective to emit electrons, designed to serve as a cathode of an electronic tube as defined above.

The flexographic industry heavily uses our Flow Torches. Spending time on production floors showed us that most customers were modifying our heaters to the point where they were voiding the warranty. We assembled all the modifications we were seeing and now offer most of those modifications as standard options for our Flow Torch Family. This would include reducers, both with and without NPT threads, flanges, v band connectors, raised junction boxes for higher inlet temps, and plugs for lead wires or junction boxes.

ColorFabb nGen is the perfect filament for beginners or those who don't want to constantly refine print settings. Because this material prints well at a wide range of temperatures and speeds, you can spend less time refining your settings and more time printing. nGen flows very well through the print nozzle and does not clog often. This filament is great for creating durable parts while avoiding print failures and the need to adjust print settings. nGen has the astounding ability to print parts with many bridges successfully where other materials have failed. Additionally, nGen has a very opaque and crisp looking appearance when printed. Although best printed on a heated bed, BuildTak or a similar adhesive can minimize warping. nGen is available in a variety of colors in both 1.75mm and 3mm.

Proto Pasta Carbon Fiber Reinforced PLA filament provides excellent structural strength and layer adhesion with very low warpage. Due to the carbon fiber contained in the filament, it has increased rigidity, therefore increased structural support is built right in. The carbon fiber in the filament is specifically designed to be small enough to fit through the nozzles, but long enough to provide the extra rigidity that makes this reinforced PLA necessary for any hobbyist that needs rugged prints. Carbon Fiber filament is perfect for printing items that should not bend, such as: frames, supports, propellers, and tools. Drone builders and RC Hobbyists love this filament, and it is made in the USA. Due to its high abrasion, before printing you will need to install a hardened steel nozzle on your printer. Carbon Fiber Reinforced PLA is available in both 1.75mm and 3mm.

Links to External Sites [top] Michael Abramoff VolumeJ,FlowJ,Flow3J,SurfaceJ,Register ROI, PCA (Principal Component Analysis) Noël Bonnet Anisotropic diffusion, Shading correction, Contrast enhancement, Regularized image gradient (Shen-Castan), Manual segmentation, Multivariate Statistical Analysis (MSA), Principal Component Analysis (PCA), Correspondence Analysis (CA), Fuzzy Segmentation, N-component segmentation, Watershed segmentation, Stackscope Thomas Boudier Active Contours (Snakes), Canny-Deriche Filter, Shape Analysis by Fourier Descriptors Wilhelm Burger and Mark Burge 53 plugins, including Alpha Blending, Histogram Equalization, Gamma Correction, UnsharpMask, Harris Corner Detector, Hough Linear Transform, Region Labeling, Trace Contours, Median Cut Quantization, DFT 2D, DCT 2D, Affine Mapping, Twirl, Ripple and Sphere Mapping, Bicubic Interpolation Gary Chinga Surface roughness statistics, Dynamic (adaptive) threshold, Shape descriptors, Image correlation, Stack plots, Ulf Dittmer Expression (applies formulas to images), HPGL Reader, Warp, OpenGL Example, PxM Reader (imports PBM, PGM and PPM), Pixellate, Seam Carving, Animated PNG (APNG) Writer Bob Dougherty Ellipse ROI, Live Histogram, Measure Stack, Multi Measure, NTSC DV2Float, QuickTime Grab, Layers, Stack Sorter, Measure ROI, Polynomial Fit, PLOT3D I/O, Polar Gradient, 3D Fast Hartley Transform (FHT, FFT), 2D and 3D Deconvolution, Diffraction PSF 3D 3D Local Thickness (3D Distance Map), MicroArray Profile, Label Image Jeff Hardin QuickTime Movie Player, Concatenate Movies, QT4D Player, QT4D Writer, Acquire4D, Rename Perkin-Elmer Files Per Christian Henden Orientation Measurement, Fractal Estimation, Susan Smoothing (2D&3D), Isolated Pixel Removal (2D&3D), Small Region Removal, Adaptive 3D Threshold, Semi Band-threshold, 3D Otsu Thresholding, 3D Discrete Distance Tranform, Extrude Map, Gaussian Noise Frederick Hessman Anaglyph, Astronomy Plugin Package, Directory Watcher, Figure Calibration, Image 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Transform, Principal Curvature and Sobel Filter (plugins work in both 2D and 3D) Jarek Sacha Image IO (uses JAI to open addition image types) Clustering, Texture Synthesus, 3D Toolkit, Half-Median RGB to CIE L*a*b*, Multiband Sobel edges, VTK Examples DCRaw (digital camera raw images), ImageJ for Zaurus PDA Groovy Console (edit and run Groovy scripts) Martin Schlueter Geometric Mappings, Color transforms, Delaunay Triangulation and Interpolation Nico Stuurman MultiTracker2, RGB Stack Merge2, ICS Opener, Optical Insights Running Z Projector, Binner, QED Swap TransformJ (Geometric Transformations up to 4D) Affine, Crop, Embed, Mirror, Rotate, Scale, Shift, Turn FeatureJ (Image Feature Extraction) Canny edges, derivatives, Hessian, Laplacian, eigenvalues, statistics RandomJ (Image Randomization) Binomial, Exponential, Gamma, Gaussian, Poisson, Uniform NeuronJ(Neurite Tracing and Quantification) OME Bio-Formats library and plugin (loci-tools.jar) PIC, MetaMorph STK, LSM, FluoView, IPLab, 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(segment and track 2D and 3D filaments) Heatmap From Stack HeatMap Histogram Export EPS (saves images in Encapsulated PostScript format) Template matching and alignment using OpenCV library CBF Reader (reads miniCBF files from DECTRIS PILATUS detectors) Octane (super-resolution imaging and single molecule tracking) Read and write Esri ASCII grid files PIV (iterative particle image velocimetry analysis) Beth Israel plugins (PET/SPECT and CT/MRI fusion) SmartRoot (semi-automated analysis of root systems) Speckle TrackerJ (track particles through time) ImagePlot (explore patterns in large image collections) IJ-Scala (use Scala language to write scripts using ImageJ API) Save as Movie (save stacks in avi, mov, wmv or mp4 format) jClustering (general framework for dynamic imaging clustering) ijblob (library to detect and analyse connected components [blobs] in binary images) Okolab Data Import (imports data acquired by Okolab incubators) FigureJ (creates image figures for scientific 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