<entry xmlns="http://pdbe.org/empiar" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ftp://ftp.ebi.ac.uk/pub/databases/emtest/empiar/schema/empiar.xsd" accessionCode="EMPIAR-10069" public="true">
    <admin>
        <currentStatus>REL</currentStatus>
        <keyDates>
            <depositionDate>2016-07-06</depositionDate>
            <releaseDate>2016-07-06</releaseDate>
            <updateDate>2017-01-03</updateDate>
        </keyDates>
        <title>Unsupervised single-particle deep classification via statistical manifold learning</title>
        <correspondingAuthor>
            <firstName>Youdong </firstName>
            <lastName>Mao</lastName>
            <organization type="academic">Dana-Farber Cancer Institute</organization>
            <street>46 S Huntington Ave, Apt #12</street>
            <townOrCity>Jamaica Plain</townOrCity>
            <stateOrProvince>MA</stateOrProvince>
            <country>United States</country>
            <postOrZipCode>02130-4751</postOrZipCode>
        </correspondingAuthor>
        <principalInvestigator>
            <firstName>Youdong </firstName>
            <lastName>Mao</lastName>
            <organization type="academic">Dana-Farber Cancer Institute</organization>
            <street>450 Brookline Ave</street>
            <townOrCity>Boston </townOrCity>
            <stateOrProvince>MA</stateOrProvince>
            <country>United States</country>
            <postOrZipCode>02215</postOrZipCode>
        </principalInvestigator>
        <principalInvestigator>
            <firstName>Youdong </firstName>
            <lastName>Mao</lastName>
            <organization type="academic">Dana-Farber Cancer Institute</organization>
            <street>46 S Huntington Ave, Apt #12</street>
            <townOrCity>Jamaica Plain</townOrCity>
            <stateOrProvince>MA</stateOrProvince>
            <country>United States</country>
            <postOrZipCode>02130-4751</postOrZipCode>
        </principalInvestigator>
        <authorsList>
            <author>Wu J</author>
            <author>Ma YB</author>
            <author>Congdon C</author>
            <author>Brett B</author>
            <author>Chen S</author>
            <author>Xu Y</author>
            <author>Ouyang Q</author>
            <author>Mao Y</author>
        </authorsList>
        <versionHistory>
            <version>
                <versionNumber>1</versionNumber>
                <date>2016-07-07</date>
                <statusCode>REL</statusCode>
                <details>Restructured the data into four dataset directories.</details>
            </version>
            <version>
                <versionNumber>2</versionNumber>
                <date>2016-07-20</date>
                <statusCode>REL</statusCode>
                <details>Added pixel sizes information.</details>
            </version>
            <version>
                <versionNumber>3</versionNumber>
                <date>2017-01-03</date>
                <statusCode>REL</statusCode>
                <details>The data has been re-uploaded due to reports of damaged/corrupted files. Added the citation information.</details>
            </version>
        </versionHistory>
        <datasetSize>28.2</datasetSize>
        <entryDOI>10.6019/EMPIAR-10069</entryDOI>
        <experimentType>EMDB</experimentType>
    </admin>
    <crossReferences>
        <citationList>
            <universalCitation>
                <journalCitation published="false">
                    <author order="1">Wu J</author>
                    <author order="2">Ma YB</author>
                    <author order="3">Congdon C</author>
                    <author order="4">Brett B</author>
                    <author order="5">Chen S</author>
                    <author order="6">Ouyang Q</author>
                    <author order="7">Mao Y</author>
                    <title>Unsupervised single-particle deep classification via statistical manifold learning</title>
                    <journal>arXiv</journal>
                    <journalAbbreviation>arXiv</journalAbbreviation>
                    <country>United States</country>
                    <year>2016</year>
                    <language>English</language>
                    <details>https://arxiv.org/abs/1604.04539</details>
                </journalCitation>
            </universalCitation>
        </citationList>
    </crossReferences>
    <imageSet>
        <name>Unaligned particle stacks from sub-frame drift-corrected micrographs. Set 1</name>
        <directory>/data/set1</directory>
        <category>picked particles - multiframe - processed</category>
        <headerFormat>MRC</headerFormat>
        <dataFormat>MRC</dataFormat>
        <numImagesOrTiltSeries>16306</numImagesOrTiltSeries>
        <framesPerImage>1</framesPerImage>
        <voxelType>32 BIT FLOAT</voxelType>
        <dimensions>
            <imageWidth>250</imageWidth>
            <pixelWidth>0.86</pixelWidth>
            <imageHeight>250</imageHeight>
            <pixelHeight>0.86</pixelHeight>
        </dimensions>
        <details>Dataset1: 250 x 250 box size, 16306-particle dataset of inflammasome. These datasets were used for benchmarking the relevant algorithms for image classification.</details>
        <segmentationList/>
    </imageSet>
    <imageSet>
        <name>Unaligned particle stacks from sub-frame drift-corrected micrographs. Set 2</name>
        <directory>/data/set2</directory>
        <category>picked particles - multiframe - processed</category>
        <headerFormat>MRC</headerFormat>
        <dataFormat>MRC</dataFormat>
        <numImagesOrTiltSeries>35407</numImagesOrTiltSeries>
        <framesPerImage>1</framesPerImage>
        <voxelType>32 BIT FLOAT</voxelType>
        <dimensions>
            <imageWidth>160</imageWidth>
            <pixelWidth>0.98</pixelWidth>
            <imageHeight>160</imageHeight>
            <pixelHeight>0.98</pixelHeight>
        </dimensions>
        <details>Dataset2: 160 x 160 box size, 35407-particle dataset of free RP complex. These datasets were used for benchmarking the relevant algorithms for image classification.</details>
        <segmentationList/>
    </imageSet>
    <imageSet>
        <name>Unaligned particle stacks from sub-frame drift-corrected micrographs. Set 3</name>
        <directory>/data/set3</directory>
        <category>picked particles - multiframe - processed</category>
        <headerFormat>MRC</headerFormat>
        <dataFormat>MRC</dataFormat>
        <numImagesOrTiltSeries>96488</numImagesOrTiltSeries>
        <framesPerImage>1</framesPerImage>
        <voxelType>32 BIT FLOAT</voxelType>
        <dimensions>
            <imageWidth>180</imageWidth>
            <pixelWidth>0.86</pixelWidth>
            <imageHeight>180</imageHeight>
            <pixelHeight>0.86</pixelHeight>
        </dimensions>
        <details>Dataset3: 180 x 180 box size, 96488-particle dataset of RP-CP complex. These datasets were used for benchmarking the relevant algorithms for image classification.</details>
        <segmentationList/>
    </imageSet>
    <imageSet>
        <name>Unaligned particle stacks from sub-frame drift-corrected micrographs. Set 4</name>
        <directory>/data/set4</directory>
        <category>picked particles - multiframe - processed</category>
        <headerFormat>MRC</headerFormat>
        <dataFormat>MRC</dataFormat>
        <numImagesOrTiltSeries>57001</numImagesOrTiltSeries>
        <framesPerImage>1</framesPerImage>
        <voxelType>32 BIT FLOAT</voxelType>
        <dimensions>
            <imageWidth>160</imageWidth>
            <pixelWidth>0.98</pixelWidth>
            <imageHeight>160</imageHeight>
            <pixelHeight>0.98</pixelHeight>
        </dimensions>
        <details>Dataset4 denotes the 160 x 160 box size, 57001-particle dataset of free RP complex. These datasets were used for benchmarking the relevant algorithms for image classification.</details>
        <segmentationList/>
    </imageSet>
</entry>
