Dataset Open Access

Atomic Force Microscopy Images of Cell Specimens

Christian Rankl


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        <foaf:name>Christian Rankl</foaf:name>
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            <foaf:name>Keysight Technologies</foaf:name>
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    <dct:title>Atomic Force Microscopy Images of Cell Specimens</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2015</dct:issued>
    <dcat:keyword>atomic force microscopy</dcat:keyword>
    <dcat:keyword>image</dcat:keyword>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2015-05-08</dct:issued>
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    <dct:description>&lt;p&gt;This data set consists of seven atomic force microscopy images in MI format as well as corresponding previews in PNG format.&lt;/p&gt; &lt;p&gt;The microscopy images are of cell material and have been scanned with AFM equipment from Keysight Technologies. Details on the individual images:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;image_0.mi - Chinese hamster ovary cells&lt;/li&gt; &lt;li&gt;image_1.mi - Chinese hamster ovary cells&lt;/li&gt; &lt;li&gt;image_2.mi - human bladder carcinoma cells&lt;/li&gt; &lt;li&gt;image_3.mi - human bladder carcinoma cells&lt;/li&gt; &lt;li&gt;image_4.mi - Chinese hamster ovary cells&lt;/li&gt; &lt;li&gt;image_5.mi - Chinese hamster ovary cells&lt;/li&gt; &lt;li&gt;image_6.mi - Chinese hamster ovary cells&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;The images can be opened using, e.g. Gwyddion: http://gwyddion.net/&lt;br /&gt; The Python package Magni can be used to load the images into Python (using the magni.afm.io module): https://github.com/SIP-AAU/Magni&lt;/p&gt; &lt;p&gt;The images are provided as-is without warranty of any kind.&lt;/p&gt;</dct:description>
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