This database contains information pertaining to the negatives taken by the laboratory since its inception. Both scanning and transmission electron micrographs are catalogued within this database.
Among other things, the database includes a large number of images of protists.
The URLs provided link to a marine specimens database, and a terrestrial and limnetic specimens database.
THIS RESOURCE IS NO LONGER IN SERVICE, documented June 5, 2017. It has been merged with Cell Image Library. Database for sharing and mining cellular and subcellular high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging that makes unique and valuable datasets available to the scientific community for visualization, reuse and reanalysis. Techniques range from wide field mosaics taken with multiphoton microscopy to 3D reconstructions of cellular ultrastructure using electron tomography. Contributions from the community are welcome. The CCDB was designed around the process of reconstruction from 2D micrographs, capturing key steps in the process from experiment to analysis. The CCDB refers to the set of images taken from microscope the as the Microscopy Product. The microscopy product refers to a set of related 2D images taken by light (epifluorescence, transmitted light, confocal or multiphoton) or electron microscopy (conventional or high voltage transmission electron microscopy). These image sets may comprise a tilt series, optical section series, through focus series, serial sections, mosaics, time series or a set of survey sections taken in a single microscopy session that are not related in any systematic way. A given set of data may be more than one product, for example, it is possible for a set of images to be both a mosaic and a tilt series. The Microscopy Product ID serves as the accession number for the CCDB. All microscopy products must belong to a project and be stored along with key specimen preparation details. Each project receives a unique Project ID that groups together related microscopy products. Many of the datasets come from published literature, but publication is not a prerequisite for inclusion in the CCDB. Any datasets that are of high quality and interest to the scientific community can be included in the CCDB.
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including self-captured light field microscopy datasets with lab-assembled LF microscope.
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Here, we collect a data set consisting totally 34298 from multiple parasites (Plasmodium, Toxoplasma Gondii (T.gondii), Babesia, Leishmania, Trypanosome, Trichomonad) and host cells (Red blood cell, and Leukocyte), which are all under 400X or 1000X microscopes. In detail, this parasite data set consists 843 Plasmodium; 3758 T.gondii under 400X microscope, and 2933 T.gondii under 1000X microscope; 1173 Babesia, 2701 Leishmania, 2385 Trypanosome, and 10134 Trichomonad, which are all under 1000X microscope. Besides, this data contains 8995 RBCs (Red Blood Cell) and 461 Leukocyte under 1000X, and extra 915 Leukocyte are captured under 400X microscope.
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China Export: Stereoscopic Microscope data was reported at 88,318.000 Unit in Mar 2025. This records an increase from the previous number of 58,447.000 Unit for Jan 2025. China Export: Stereoscopic Microscope data is updated monthly, averaging 19,852.500 Unit from Jan 2009 (Median) to Mar 2025, with 194 observations. The data reached an all-time high of 277,381.000 Unit in Dec 2023 and a record low of 0.000 Unit in Jan 2009. China Export: Stereoscopic Microscope data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Pharmaceutical Sector – Table CN.RTB: Pharmaceutical Trade: Diagnosis and Treatment Appliances: Quantity.
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100 Global export shipment records of Microscope with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
We developed and tested a new method for in situ characterization and distribution of inorganic particles in biopsied lung tissue from three diverse human subject groups using field emission scanning electron microscopy with an energy dispersive analyzer. Secondary and backscattered electron images were acquired to document the size and location of inorganic particulate matter in areas of lung tissue biopsy sections.
The Microscopy, Electrochemistry, and Conductivity Analyzer (MECA) experiment on the Mars Phoenix Lander consists of four instrument components plus command electronics. This MECA Imaging EDR data set contains data from one of the four MECA components, the Optical Microscope (OM).
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Aqualitas database (full release) corresponding to 100 diatom taxa with about 100 specimens/taxon. The images have been taken with a 60X, NA=0.85 objective using oblique illumination. If you use this database please cite the following publications:[1] Bueno, G. et al, “Automated Diatom Classification (Part A): Handcrafted feature approaches", Applied Sciences, 7, 753, pp. 1-22 (2017) doi: 10.3390/app7080753[2] Pedraza, A. et al, “Automated Diatom Classification (Part B): A Deep Learning Approach" Applied Sciences, 7, 460, pp. 1-25 (2017) doi: 10.3390/app7050460 NOTE: For calibrating the images, use the attached image ruler. The distance between the large ticks is 100um.AcknowledgementsThis work was supported by the Spanish Government under the Aqualitas project (CTM2014-51907) during the period 2015-2019.
This repository contains all of the data used in the manuscript "Linearizing the vertical scale of an interferometric microscope and its effect on step-height measurement," by Thomas A. Germer, T. Brian Renegar, Ulf Griesmann, and Johannes A. Soons, which has been published in Surface Topography: Metrology and Properties volume 12, number 2, article 025012 on 8 May 2024. The repository also contains a Python Jupyter notebook that performs the analysis of the data and generates the figures in the manuscript.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017.Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging.
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BioSR is a biological image dataset for super-resolution microscopy, currently including more than 2200 pairs of low-and-high resolution images covering four biology structures (CCPs, ER, MTs, F-actin), nine signal levels (15-600 average photon count), and two upscaling-factors (linear SIM and non-linear SIM). BioSR is now freely available, aiming to provide a high-quality dataset for the community of single bio-image super-resolution algorithm and advanced SIM reconstruction algorithm developers. For more information about BioSR, please see our Nature Methods manuscript, "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (DOI: 10.1038/s41592-020-01048-5). Update 2022.10.04 Add DataSet of rDL-SRM (Zenodo Link).xlsx file, which includes descriptions and Zenodo links of BioSR+ (data extension of BioSR) and other data used in our Nature Biotechnology paper "Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes" (DOI: 10.1038/s41587-022-01471-3 ).
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China Exports of compound optical microscopes, parts & accessories to Lesotho was US$65.86 Thousand during 2023, according to the United Nations COMTRADE database on international trade. China Exports of compound optical microscopes, parts & accessories to Lesotho - data, historical chart and statistics - was last updated on July of 2025.
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Collection of results of analyses carried on the V&A cast a font (REPRO.1874-29).Sampling, OM-BSE, Summary and Samples 1 to 6 (OM, SEM-EDS, XRD, FT-IR, GC/MS). Raw data available upon request.
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The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 microscope with 100 times zoom. The resulting color images were saved in PNG (Portable Network Graphics) format with no compression and a resolution of 1024 × 768 pixels. The figure below provides some samples of the database.
The FSD 1.0 is structured as follows:
The FS Database may be used for non-commercial research provided you acknowledge the source of the image by citing the following paper in publications about your research:
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China Import: Stereoscopic Microscope data was reported at 575.000 Unit in Mar 2025. This records an increase from the previous number of 410.000 Unit for Feb 2025. China Import: Stereoscopic Microscope data is updated monthly, averaging 690.000 Unit from Jan 2009 (Median) to Mar 2025, with 195 observations. The data reached an all-time high of 1,724.000 Unit in Nov 2022 and a record low of 0.000 Unit in Jan 2009. China Import: Stereoscopic Microscope data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Pharmaceutical Sector – Table CN.RTB: Pharmaceutical Trade: Diagnosis and Treatment Appliances: Quantity.
Transmission electron microscope tomographic data of aligned carbon nanotubes in epoxy at volume fractions of 0.44%, 2.6%, 4%, and 6.9%. Reduced data and analysis are available at https://doi.org/10.1021/acsnano.5b01044 . This is the raw data used to generate the figures in "The evolution of carbon nanotube network structure in unidirectional nanocomposites resolved by quantitative electron tomography", Bharath Natarajan, Noa Lachman, Thomas Lam, Douglas Jacobs, Christian Long, Minhua Zhao, Brian L Wardle, Renu Sharma, J Alexander Liddle, ACS Nano, vol. 9, pp 6050-6058 (2015), and is further analyzed in "Aligned carbon nanotube morphogenesis predicts physical properties of their polymer nanocomposites", Bharath Natarajan, Itai Y. Stein, Noa Lachman, Namiko Yamamoto, Douglas S. Jacobs, Renu Sharma, J. Alexander Liddle and Brian L. Wardle, Nanoscale, vol. 11, pp16327-16335 (2019), and "Modeliing the Electromagnetic Scattering Characteristics of Carbon Nanotube Composites Characterized by 3-D Tomographic Transmission Electron Microscopy", Ahmed M. Hassan, MD Khadimul Islam, Spencer On, Bharath Natarajan, Itai Y. Stein, Noa Lachman, Estelle Cohen, Brian L. Wardle, Renu Sharma, J. Alexander Liddle, and Edward J. Garboczi, IEEE Open Journal of Antennas and Propagation, vol. 1, pp 142-158 (2020). Carbon nanotube (CNT) reinforced polymers are next-generation, high-performance, multifunctional materials with a wide array of promising applications. Successful introduction of such materials is hampered by the lack of a quantitative understanding of process-structure-property relationships. These relationships are developed through the detailed characterization of nanoscale reinforcement morphology within the embedding medium. We reveal the three-dimensional (3D) nanoscale morphology of high volume fraction (Vf) aligned CNT/epoxy-matrix nanocomposites using energy-filtered electron tomography. We present an automated phase-identification method for fast, accurate, representative rendering of the CNT spatial arrangement in these low-contrast bimaterial systems. The resulting nanometer-scale visualizations provide quantitative information on the evolution of CNT morphology and dispersion state with increasing Vf, including network structure, CNT alignment, bundling and waviness. The CNTs exhibit a nonlinear increase in bundling and alignment and a decrease in waviness as a function of increasing Vf. Our findings explain previously observed discrepancies between the modeled and measured trends in bulk mechanical, electrical and thermal properties. The techniques we have developed for morphological quantitation are applicable to many low-contrast material systems. We use new, nanoscale quantitative 3D morphological information and stochastic modeling to re-interpret experimental measurements of continuous aligned carbon nanotube (A-CNT) PNC properties as a function of A-CNT packing/volume fraction. The 3D tortuosity calculated from tomographic reconstructions and its evolution with Vf is used to develop a novel definition of waviness that incorporates the stochastic nature of CNT growth. The importance of using randomly wavy CNTs to model these materials is validated by agreement between simulated and previously-measured PNC elastic moduli. Secondary morphological descriptors such as CNT-CNT junction density and inter-junction distances are measured for transport property predictions. The scaling of the junction density with CNT volume fraction is observed to be non-linear, and this non-linearity is identified as the reason behind the previously unexplained scaling of aligned-CNT PNC longitudinal thermal conductivity. The measured electrical conductivity scales linearly with Vf as it is relatively insensitive to junction density beyond percolation.
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Bead data for Fig. 2c-d, regions within 5 μm around the light-sheet waist were cropped. Bead data are without deconvolution.
Cell data for Fig. 3. Each cell data contain a 4D data stack for each color channel. Cell data are after deconvolution and interpolation as desribed in the paper.
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United States Exports of microscopes other than optical microscopes to Cyprus was US$70.75 Thousand during 2022, according to the United Nations COMTRADE database on international trade. United States Exports of microscopes other than optical microscopes to Cyprus - data, historical chart and statistics - was last updated on June of 2025.
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United States Exports of microscopes other than optical microscopes to Moldova was US$34 Thousand during 2013, according to the United Nations COMTRADE database on international trade. United States Exports of microscopes other than optical microscopes to Moldova - data, historical chart and statistics - was last updated on June of 2025.
This database contains information pertaining to the negatives taken by the laboratory since its inception. Both scanning and transmission electron micrographs are catalogued within this database.
Among other things, the database includes a large number of images of protists.
The URLs provided link to a marine specimens database, and a terrestrial and limnetic specimens database.