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microscope - メーカー・企業41社の製品一覧とランキング

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microscopeのメーカー・企業ランキング

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  1. null/null
  2. フローベル Kanagawa//Optical Instruments
  3. 一般財団法人材料科学技術振興財団　MST Tokyo//Testing, Analysis and Measurement
  4. 4 アズサイエンス 松本本社 Nagano//Trading company/Wholesale
  5. 5 サーモフィッシャーサイエンティフィック株式会社／Thermo Fisher Scientific K.K. Tokyo//Testing, Analysis and Measurement
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  1. White interference microscope equipped with laser microscope 'VK-X3000'
  2. All-in-one fluorescence microscope 'BZ-X1000 Series'
  3. Bilateral Microscope System "TOMOS Series" フローベル
  4. 4 All-in-one fluorescence microscope 'BZ-X800'
  5. 5 All-in-one fluorescence microscope BZ-X series

microscopeの製品一覧

421～435 件を表示 ／ 全 654 件

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[Analysis Case] Morphological Observation and Component Analysis of Solid Polymer Fuel Cell Catalyst Materials

[Analysis Case] Morphological Observation and Component Analysis of Solid Polymer Fuel Cell Catalyst Materials

Evaluation of catalyst particles using SEM, STEM, and EDX.

The electrodes of fuel cells are supported by Pt particles or Pt alloy (such as PtRu) particles on carbon. Due to the fine structure of these catalyst particles, which are on the order of a few nanometers, SEM and TEM analyses are used for morphological observation and compositional analysis. In addition to evaluations in the initial state, degradation after current application has been reported, including modulation of alloy composition, Ru leaching, and an increase in catalyst particle size; high spatial resolution HAADF observation and EDX analysis are very effective for these evaluations. Furthermore, SEM observation allows for the confirmation of the shape of the carbon support and the state of the catalyst particles.

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[Analysis Case] Observation of Hair Surface Microstructure by AFM

[Analysis Case] Observation of Hair Surface Microstructure by AFM

Quantitative evaluation with reduced alteration is possible through analysis in the atmosphere.

This case study introduces an analysis of the condition of the cuticle on the hair surface using AFM. AFM is a method for three-dimensional measurement of nanoscale surface roughness. Since the analysis is conducted in the atmosphere, it does not cause degradation or gas release of organic materials, allowing for an evaluation of the sample's original shape. In this case study, we assessed the degree of cuticle opening, the distribution of adhered substances, and the roughness evaluation of different areas through images, as well as quantitatively evaluated the surface roughness through numerical processing. This method is effective for evaluating the condition of hair after shampooing and the application state after applying styling products.

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[Analysis Case] Evaluation of Crystal Defects in SiC Power Devices Using PL and TEM

[Analysis Case] Evaluation of Crystal Defects in SiC Power Devices Using PL and TEM

High-resolution TEM observation of crystal defects detected by PL mapping.

In PL (photoluminescence) mapping, it is possible to identify the positions of crystal defects from the luminescent areas. Furthermore, by performing high-resolution STEM observation (HAADF-STEM images) at the same locations, we can capture stacking defects. In this case study, we investigated commercially available SiC power devices using PL mapping and STEM. After identifying the positions of stacking defects through PL mapping, we conducted μ-sampling at the defect edge and performed cross-sectional STEM observation.

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[Analysis Case] Evaluation of Diffusion Layer Shape of Image Sensors Using SCM

[Analysis Case] Evaluation of Diffusion Layer Shape of Image Sensors Using SCM

We provide consistent support from sample disassembly to measurement.

This document presents case studies evaluating the diffusion layer of image sensors in smartphones. Using a scanning capacitance microscope (SCM) capable of determining the p/n type of semiconductors, we assessed the distribution of the diffusion layer. By combining the results from cross-sectional and planar SCM, we obtained complementary and extensive information. SCM is one of the effective tools for evaluating the quality of image sensor diffusion layers and for failure analysis.

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  • lens

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AFM Data Collection

AFM Data Collection

AFM: Atomic Force Microscopy Method

AFM is a method that scans the surface of a sample with a fine probe and measures nano-scale surface topography in three dimensions. It can measure a wide range of materials, not only for the evaluation of metals, semiconductors, and oxides, but also for soft materials such as hair and contact lenses. This document presents various AFM images of different materials.

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  • Wafer

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[Analysis Case] Evaluation of Surface Roughness of SiC Trench MOSFET Trench Sidewalls

[Analysis Case] Evaluation of Surface Roughness of SiC Trench MOSFET Trench Sidewalls

Quantitative evaluation of the roughness of trench sidewalls related to device characteristics.

In recent years, SiC has been attracting attention as a material for high-voltage devices. The trench MOSFET structure is necessary for the high integration of devices, and the application development for SiC devices is progressing. Since the channel region of the trench MOSFET structure is the trench sidewall, the flatness of the trench sidewall is related to the reliability of the device. This document introduces an example of quantitatively evaluating the roughness of the trench sidewall of SiC trench MOSFETs using AFM (Atomic Force Microscopy).

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  • Other semiconductors

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[Analysis Case] STEM/EDX and Image Simulation for Crystal Structure Evaluation

[Analysis Case] STEM/EDX and Image Simulation for Crystal Structure Evaluation

The evaluation of the crystal structure can be performed based on the STEM images and the results of atomic composition measurements.

By measuring the sample, it is possible to evaluate the crystal structure through the combination of results obtained and simulations. This document introduces a case study in which the crystal structure is discussed by comparing the results obtained from HAADF-STEM and EDX measurements on polycrystalline neodymium magnets with simulated images using the respective measurement conditions. The combination of measurement results and computational simulation results allows for a deeper understanding of the crystal structure.

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  • magnet
  • Memory

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[Analysis Case] SiC by SMM and SNDM

[Analysis Case] SiC by SMM and SNDM

You can evaluate the p/n polarity and carrier concentration distribution of the diffusion layer in SiC devices.

In recent years, SiC has attracted attention as a material for high-voltage devices. The trench MOSFET structure allows for high integration of the elements, and applications for SiC devices are also being advanced. On the other hand, there are challenges regarding the dopant activation rate of SiC devices, making performance evaluation important. In this instance, we will introduce a case where carrier polarity determination was conducted using SNDM (Scanning Nonlinear Dielectric Microscopy) and carrier concentration distribution was evaluated using SMM (Scanning Microwave Microscopy) for SiC trench MOSFETs.

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  • Other electronic parts

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[Analysis Case] Structural Analysis of DRAM Chips using TEM and SEM

[Analysis Case] Structural Analysis of DRAM Chips using TEM and SEM

Reverse engineering of DRAM on the product's internal substrate.

We will conduct a comprehensive analysis of DRAM, a representative memory, from product level to device microstructure analysis through TEM observation. By performing appearance observation, layer analysis, and Slice & View, we will grasp the overall structure, control the FIB processing position at the nanoscale, and observe the microstructure of the memory section through TEM imaging after thin section formation.

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  • Memory

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[Analysis Case] Observation of Crystal Grains on Cu Surface Using Scanning Ion Microscopy

[Analysis Case] Observation of Crystal Grains on Cu Surface Using Scanning Ion Microscopy

It is possible to obtain insights into the size and distribution of crystal grains in metallic polycrystals.

The Scanning Ion Microscope (SIM) is a method that irradiates a solid sample with an ion beam and detects the secondary electrons generated. Since secondary electrons produce contrast according to the crystal orientation of each grain, it is possible to easily obtain insights into the size and distribution of crystal grains in polycrystalline metals such as Cu and Al using SIM. This document presents an example of measurements where the surface of Cu was observed using SIM.

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  • Memory

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[MFM] Magnetic Force Microscopy Method

[MFM] Magnetic Force Microscopy Method

MFM is a measurement technique that uses a probe coated with a magnetic film to measure the leakage magnetic field occurring near the sample surface and obtain magnetic information.

- Qualitative information on the magnetic properties of the sample can be obtained. - Imaging of attraction and repulsion due to leakage magnetic fields is possible. - A signal of magnetic force proportional to the magnitude of the gradient of the leakage magnetic field can be obtained, but quantitative evaluation is not possible. - AFM images can also be obtained simultaneously.

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[Analysis Case] Evaluation of Skin Permeability Using Three-Dimensional Cultured Human Skin

[Analysis Case] Evaluation of Skin Permeability Using Three-Dimensional Cultured Human Skin

It is possible to conduct various evaluations of cultured human skin (morphological observation, distribution assessment of components, quantitative analysis).

■Morphological Observation The morphology of the tissue can be confirmed by staining frozen sections (e.g., HE staining, Nile blue staining). ■Fluorescence Microscopy Observation If the transmitted components have fluorescence, the fluorescent components can also be observed using a fluorescence microscope. ■Mass Microscopy Observation The distribution of components can be evaluated. Temporal changes can also be confirmed with sections taken at different times (TOF-SIMS). ■Quantitative Analysis Temporal changes in the amount of fluorescent components in the skin can also be confirmed (e.g., LC/MS/MS, fluorescence detectors, etc.).

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[Analysis Case] Evaluation of Mechanical Properties of Food (Roast Ham) by AFM-MA

[Analysis Case] Evaluation of Mechanical Properties of Food (Roast Ham) by AFM-MA

Quantifying texture with mechanical property parameters.

Factors that determine texture include various elements such as hardness and adhesion. Generally, the texture of food is evaluated through stress assessment using tools like texture analyzers, but measuring in micro-regions or thin samples is challenging. AFM-MA can measure not only the shape of surface roughness but also the Young's modulus representing mechanical properties like hardness, adhesion parameters related to texture, and energy dissipation data in micro-regions. Therefore, it is effective for evaluating physical properties related to texture and similar characteristics in extremely small areas.

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  • Contract measurement

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[Analysis Case] Extraction of Active Material from Battery Cathode Material and Data Analysis

[Analysis Case] Extraction of Active Material from Battery Cathode Material and Data Analysis

We determined the particle size of active substances from SEM images using deep learning and data analysis.

Deep learning enables the extraction of target objects from images. Additionally, by analyzing the regions corresponding to the obtained targets, information can be obtained in numerical form. In this instance, we used deep learning to extract active material particles and detect cracks in cross-sectional SEM images of battery cathode materials. Extraction is also possible for 3D data, such as Slice&View data. We extracted particles with and without cracks from the 3D data and calculated their respective particle sizes. Measurement methods: SEM, Slice&View, computational science, AI, data analysis Product fields: Solar cells, secondary batteries, fuel cells Analysis purposes: Structural evaluation, shape evaluation, failure analysis, defect analysis For more details, please download the materials or contact us.

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  • Contract measurement

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[Analysis Case] Surface Shape Analysis of GaN Substrates

[Analysis Case] Surface Shape Analysis of GaN Substrates

Visualization of step-terrace structures by AFM.

Gallium nitride (GaN), a wide bandgap semiconductor, is used in a wide range of fields such as power devices and communication/optical devices. When fabricating devices, the shape and roughness of the wafer surface significantly impact device performance. During the growth of GaN wafers, a step-terrace structure is formed on the surface due to stress effects from lattice mismatch with the supporting substrate. This document introduces a case where the step-terrace structure of the GaN substrate surface was visualized using AFM, and the terrace width, step height, surface roughness, and off-angle were evaluated. Measurement method: AFM Product fields: Power devices, electronic components, lighting Analysis purpose: Shape evaluation, structural evaluation For more details, please download the document or contact us.

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