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Micron

ISSN: 0968-4328

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Datasets associated with articles published in Micron

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1970
2024
1970 2024
11 results
  • Data for: Strengthening Dependence on Precipitate Cr Composition in Fe-15at.%Cr Alloy
    LAMMPS input scripts for the simulation of an edge dislocation interaction Cr precipitate in Fe-15at.%Cr alloy
    • Dataset
  • Data for: Morphological and optical features of superposition compound eye in Monochamus alternatus Hope (Coleoptera: Cerambycidae)
    In order to improve our understanding of visual behavior and its mechanism in M. alternatus, the compound eye external morphology and fine structures were observed with a scanning electron microscope (SEM), a transmission electron microscope (TEM) and light microscopy (LM). This descriptive work and mapping provides a basis for future investigation of M. alternatus behavior.
    • Dataset
  • Data for: Structure, Morphology and Composition of Fur on Different Parts of Reindeer (Rangifer Tarandus) Foot
    Measurement medulla index of fur on different foot parts
    • Dataset
  • Data for: Correlative FLIM-Confocal-Raman mapping applied to plant lignin composition and autofluorescence.
    These are the raw data in their original filetypes as follows: Lignin_LASX_Leica.lif = The confocal images showing lignin autofluorescence in the WT and lignin mutant. The data were created in Leica LAS X software and additionally contain all the metadata describing the imaging parameters. The .lif file can additionally be read in Fiji/ImageJ. Lignin_FLIM.sptw.zip = ZIP archive of the SymPhoTime 64 workspace containing all the FLIM data of the same regions as the above confocal images taken in LAS X. Can be read by SymPhoTime software (Picoquant). WT.wdf and cad2_6_mutant.wdf = Original Raman mapping data .wdf files taken on a Renishaw InVia Raman microscope using WiRE 4 software. The data have been baseline subtracted. There are two files - one of a map of WT, the other is the lignin mutant. FLIM_Raman_replicates = ZIP archive of the SymPhoTime 64 workspace containing FLIM biological replicates labelled WT1, WT2 and WT3 for WT and cad_1, cad_2 for mutant. Also contains associated original Raman data (as .wdf files) taken on a Renishaw InVia Raman microscope using WiRE 4 software. The data have been baseline subtracted. Note WT1 represents a FLIM dataset that was taken without associated Raman mapping as a control experiment for FLIM with no prior Raman illumination.
    • Dataset
  • Data for: Strain measurement of particle-reinforced composites at microscale: an approach towards concurrent characterization of strain and microstructure
    The images used for the strain measurement taken at the actual tensile test, including the undeformed image without pattern deposition, the undeformed image with pattern deposition, and the deformed image.
    • Dataset
  • Data for: Strain measurement of particle-reinforced composites at microscale: an approach towards concurrent characterization of strain and microstructure
    The images of benchmark, including the reference images, the translated images, and the rotated images.
    • Dataset
  • Data for: Permeability anisotropy and geometrical properties of sealed-microfractures from micro-CT analyses: An open-source implementation.
    See Readme file
    • Dataset
  • Data for: Fast and robust segmentation of cell images by self-supervised learning
    Two datasets consisting of white blood cell (WBC) images were tested in our experiments. These two datasets are chosen for our experiments, as they are significantly different from each other in terms of the image color, cell shape, background, etc., which can better evaluate the robustness of the proposed approach. The ground truth segmentation results are manually sketched by domain experts, where the nuclei, cytoplasms and background including red blood cells are marked in white, gray and black respectively. We also submitted the segmentation results by our approach, where the whole WBC region are marked in white and the others are marked in black. Dataset 1 was obtained from Jiangxi Tecom Science Corporation, China. It contains three hundred 120×120 images of WBCs and their color depth is 24 bits. The images of Dataset 1 were taken by a Motic Moticam Pro 252A optical microscope camera with a N800-D motorized auto-focus microscope, and the blood smears were processed with a newly-developed hematology reagent for rapid WBC staining. The overall background of images in Dataset one looks yellow. Dataset 2 consists of one hundred 300×300 color images, which were collected from the CellaVision blog (http://blog.cellavision.com). The cell images are generally purple and may contain many red blood cells around the white blood cells, which is quite different from Dataset 1.
    • Dataset
  • Data for: Automatic Detection of Particle Size Distribution by Image Analysis Based on Local Adaptive Canny Edge Detection and Modified Circular Hough Transform
    This dataset is corresponded to the size distributions in this paper.
    • Dataset
  • Adult Major Workers and Mature Worker Larvae of Camponotus textor and Camponotus senex: Morphology, DNA, Chemical Analyses.
    The present dataset pertains the article "Weaving through a cryptic species: Comparing the Neotropical ants Camponotus senex and Camponotus textor (Hymenoptera: Formicidae)" published in Micron (2017) http://dx.doi.org/10.1016/j.micron.2017.03.016. Included in this dataset any reader can find: (i) Images of light microscopy and scanning electron microscopy obtained from some specimens collected in the field and analysed for the present study, including adults and larvae, either of whole body or specific dissected body parts; (ii) Original obtained chromatogram files prior to ion m/z masking (masking strong background and column bleed peaks) used for general CHC analysis; (iii) Preliminary versions of the phylogenetic tree for COI as presented on Fig. 9 with further details on the steps and criteria used in optimizing the results presented with conclusions, including raw files; (iv) Minor pertaining details (submission cover letter, supporting technical files and explanations)
    • Dataset
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