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	<title>2018McLeod MRCZ - Revision history</title>
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	<updated>2026-05-24T21:06:52Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>WikiSysop: Created page with &quot;== Citation ==  McLeod, R. A.; Diogo Righetto, R.; Stewart, A. &amp; Stahlberg, H. MRCZ - A file format for cryo-TEM data with fast compression. Journal of structural biology, 201...&quot;</title>
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		<updated>2018-04-02T05:41:22Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  McLeod, R. A.; Diogo Righetto, R.; Stewart, A. &amp;amp; Stahlberg, H. MRCZ - A file format for cryo-TEM data with fast compression. Journal of structural biology, 201...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
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McLeod, R. A.; Diogo Righetto, R.; Stewart, A. &amp;amp; Stahlberg, H. MRCZ - A file format for cryo-TEM data with fast compression. Journal of structural biology, 2018, 201, 252-257&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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The introduction of fast CMOS detectors is moving the field of transmission electron microscopy into the computer science field of big data. Automated data pipelines control the instrument and initial processing steps which imposes more onerous data transfer and archiving requirements. Here we conduct a technical demonstration whereby storage and read/write times are improved 10× at a dose rate of 1 e /pix/frame for data from a Gatan K2 direct-detection device by combination of integer decimation and lossless compression. The example project is hosted at github.com/em-MRCZ and released under the BSD license.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://www.sciencedirect.com/science/article/pii/S1047847717302083&lt;br /&gt;
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== Related software ==&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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