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          <given>Joel</given>
        </name>
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        <id>jmduda@ihi.or.tz</id>
        <affiliation>Ifakara Health Institute</affiliation>
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    <title>Dataset for &quot;Robotic microscopy for everyone: the OpenFlexure Microscope&quot;</title>
    <subjects>
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    <divisions>
      <item>dept_chem</item>
      <item>dept_physics</item>
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    <keywords>microscopy, open source, instrumentation</keywords>
    <note>Additional documentation is provided within the ZIP file.</note>
    <abstract>This dataset contains microscopy images collected to demonstrate imaging capabilities of the OpenFlexure Microscope. Images for bright-field transmission and reflection, polarisation contrast, and fluorescence imaging are provided. A set of images obtained from a large tile scan are provided, along with the Microsoft Image Composite Editor file used for tiling.</abstract>
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        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/R013969/1</grant_id>
        <project_name>Detailed Malaria Diagnostics with Intelligent Microscopy</project_name>
      </item>
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        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/R011443/1</grant_id>
        <project_name>Automated microscopy for high-throughput malaria research.</project_name>
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        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
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        <project_name>UR Fellowship - Robotic microscopy for globally accessible science &amp; healthcare</project_name>
      </item>
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        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
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    <collection_method>Images were collected using the OpenFlexure Microscope as documented in the associated mansuscript.</collection_method>
    <techinfo>Images are in JPEG format. The .spj file is a project file for use with Microsoft Image Composite Editor v2.0 (https://www.microsoft.com/en-us/research/product/computational-photography-applications/image-composite-editor/).

Python scripts are written for Python v3.6+ and require non-standard libraries matplotlib, Numpy, opencv-python, picamera, PIL, pytest, scipy, and scikit-image, all of which are available from the Python Package Index (https://pypi.org/).

The analysis script `run_analysis.sh` requires a global installation of the Python library micat (https://gitlab.com/bath_open_instrumentation_group/micat). It may be executed directly by a UNIX-like shell, but the command invocation it contains may be used on other platforms.</techinfo>
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