Light-Sheet Metadata Attributes
Fields that are collected for Light-Sheet data, available at dataset.metadata.<attribute>
* indicates a required field
| Attribute | Type | Description | Allowable Values |
|---|---|---|---|
| parent_sample_id * | Unique HuBMAP or SenNet identifier of the sample (i.e., block, section or suspension) used to perform this assay. For example, for a RNAseq assay, the parent would be the suspension, whereas, for one of the imaging assays, the parent would be the tissue section. If an assay comes from multiple parent samples then this should be a comma separated list. Example: HBM386.ZGKG.235, HBM672.MKPK.442 or SNT232.UBHJ.322, SNT329.ALSK.102 | ||
| lab_id | A locally assigned identifier provided by the data provider for the dataset. It is used to reference an external metadata record that may be maintained independently, enabling traceability and supporting provenance tracking. Example: Visium_9OLC_A4_S1 | ||
| preparation_protocol_doi * | DOI for the protocols.io page that describes the assay or sample procurment and preparation. For example for an imaging assay, the protocol might include staining of a section through the creation of an OME-TIFF file. In this case the protocol would include any image processing steps required to create the OME-TIFF file. Example: https://dx.doi.org/10.17504/protocols.io.eq2lyno9qvx9/v1 | ||
| dataset_type * | The specific type of dataset being produced. | 10X Multiome 2D Imaging Mass Cytometry ATACseq Auto-fluorescence Cell DIVE CODEX Confocal CosMx CyCIF DBiT DESI Enhanced Stimulated Raman Spectroscopy (SRS) GeoMx (nCounter) GeoMx (NGS) HiFi-Slide Histology LC-MS Light Sheet MALDI MERFISH MIBI Molecular Cartography MUSIC nanoSPLITS PhenoCycler Resolve RNAseq RNAseq (with probes) Second Harmonic Generation (SHG) SIMS SNARE-seq2 Stereo-seq Thick section Multiphoton MxIF Visium (no probes) Visium (with probes) Xenium |
|
| analyte_class * | Analytes are the target molecules being measured with the assay. | Chromatin DNA DNA + RNA Endogenous fluorophores Fluorochrome Lipid Metabolite Nucleic acid and protein Peptide Polysaccharide Protein RNA |
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| is_targeted * | Specifies whether or not a specific molecule(s) is/are targeted for detection/measurement by the assay (“Yes” or “No”). The CODEX analyte is protein. | ||
| acquisition_instrument_vendor * | An acquisition instrument is the device that contains the signal detection hardware and signal processing software. Assays generate signals such as light of various intensities or color or signals representing the molecular mass. | Akoya Biosciences Andor BGI Genomics Bruker Cytiva Evident Scientific (Olympus) GE Healthcare Hamamatsu Huron Digital Pathology Illumina In-House Ionpath Keyence Leica Biosystems Leica Microsystems Motic NanoString Resolve Biosciences Sciex Standard BioTools (Fluidigm) Thermo Fisher Scientific Zeiss Microscopy |
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| acquisition_instrument_model * | Manufacturers of an acquisition instrument may offer various versions (models) of that instrument with different features or sensitivities. Differences in features or sensitivities may be relevant to processing or interpretation of the data. | Aperio AT2 Aperio CS2 Axio Observer 3 Axio Observer 5 Axio Observer 7 Axio Scan.Z1 BZ-X710 BZ-X800 BZ-X810 CosMx Spatial Molecular Imager Custom: Multiphoton Digital Spatial Profiler DM6 B DNBSEQ-T7 EVOS M7000 HiSeq 2500 HiSeq 4000 Hyperion Imaging System IN Cell Analyzer 2200 Lightsheet 7 MALDI timsTOF Flex Prototype MIBIscope MoticEasyScan One NanoZoomer 2.0-HT NanoZoomer S210 NanoZoomer S360 NanoZoomer S60 NanoZoomer-SQ NextSeq 2000 NextSeq 500 NextSeq 550 NovaSeq 6000 NovaSeq X NovaSeq X Plus Orbitrap Eclipse Tribrid Orbitrap Fusion Lumos Tribrid Phenocycler-Fusion 1.0 Phenocycler-Fusion 2.0 PhenoImager Fusion Q Exactive Q Exactive HF Q Exactive UHMR QTRAP 5500 Resolve Biosciences Molecular Cartography SCN400 STELLARIS 5 TissueScope LE Slide Scanner Unknown VS200 Slide Scanner Xenium Analyzer Zyla 4.2 sCMOS |
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| source_storage_duration_value * | How long was the source material stored, prior to this sample being processed? For assays applied to tissue sections, this would be how long the tissue section (e.g., slide) was stored, prior to the assay beginning (e.g., imaging). For assays applied to suspensions such as sequencing, this would be how long the suspension was stored before library construction began. | ||
| source_storage_duration_unit * | The time duration unit of measurement | hour month day minute year |
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| time_since_acquisition_instrument_calibration_value | The amount of time since the acqusition instrument was last serviced by the vendor. This provides a metric for assessing drift in data capture. | ||
| time_since_acquisition_instrument_calibration_unit | The time unit of measurement | Column-by-column Not applicable Row-by-row Snake-by-columns Snake-by-rows |
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| contributors_path * | The path to the file with the ORCID IDs for all contributors of this dataset (e.g., “./extras/contributors.tsv” or “./contributors.tsv”). This is an internal metadata field that is just used for ingest. | ||
| data_path * | The top level directory containing the raw and/or processed data. For a single dataset upload this might be “.” where as for a data upload containing multiple datasets, this would be the directory name for the respective dataset. For instance, if the data is within a directory called “TEST001-RK” use syntax “./TEST001-RK” for this field. If there are multiple directory levels, use the format “./TEST001-RK/Run1/Pass2” in which “Pass2” is the subdirectory where the single dataset’s data is stored. This is an internal metadata field that is just used for ingest. | ||
| antibodies_path * | This is the location of the antibodies.tsv file relative to the root of the top level of the upload directory structure. This path should begin with “.” and would likely be something like “./extras/antibodies.tsv”. | ||
| is_image_preprocessing_required * | Indicates whether image preprocessing is necessary based on the type of acquisition instrument used, such as a microscope or slide scanner. This may involve steps like fusing image tiles to assemble the complete image. Example: Yes | ||
| slide_id | A unique ID denoting the slide used. This allows users the ability to determine which tissue sections were processed together on the same slide. It is recommended that data providers prefix the ID with the center name, to prevent values overlapping across centers. | ||
| tile_configuration | The configuration of tiles used for stitching in the assay process. If no tile configuration is applicable, enter “Not applicable”. Example: Row-by-row | Column-by-column Not applicable Snake-by-columns Row-by-row Snake-by-rows |
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| scan_direction | The direction of imaging, which is necessary for the stitching process. Example: Left-and-down | Left-and-down Right-and-down Not applicable Right-and-up Left-and-up |
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| tiled_image_columns | The number of columns used in the stitching process of a tiled image, often referred to as the grid size in the x-dimension. Example: 5 | ||
| tiled_image_count | The total number of raw tiled images captured, which are intended to be stitched together. Example: 75 | ||
| intended_tile_overlap_percentage | The intended percentage of overlap between tiled images. This value serves as the set point, although slight variations may occur during image acquisition due to stage registration. Example: 5 | ||
| metadata_schema_id * | The string that serves as the definitive identifier for the metadata schema version and is readily interpretable by computers for data validation and processing. Example: 22bc762a-5020-419d-b170-24253ed9e8d9 |
Deprecated Attributes
These attributes were supported by older metadata version specifications. They are no longer collected but there may be some older datasets that contain data for these attributes.
| Attribute | Type | Description | Allowable Values |
|---|---|---|---|
| assay_category | Each assay is placed into one of the following 4 general categories: generation of images of microscopic entities, identification & quantitation of molecules by mass spectrometry, imaging mass spectrometry, and determination of nucleotide sequence. | sequence |
|
| description | Free-text description of this assay. | ||
| donor_id | HuBMAP Display ID of the donor of the assayed tissue. | ||
| execution_datetime | Start date and time of assay, typically a date-time stamped folder generated by the acquisition instrument. YYYY-MM-DD hh:mm, where YYYY is the year, MM is the month with leading 0s, and DD is the day with leading 0s, hh is the hour with leading zeros, mm are the minutes with leading zeros. | ||
| number_of_antibodies | Number of antibodies | ||
| number_of_channels | Number of fluorescent channels imaged during each cycle. | ||
| operator | Name of the person responsible for executing the assay. | ||
| operator_email | Email address for the operator. | ||
| principal_investigator | The full name of the principal investigator who is responsible for the data. | ||
| pi_email | Email address for the principal investigator. | ||
| resolution_x_unit | The unit of measurement of width of a pixel.(nm) | mm um nm |
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| resolution_x_value | The width of a pixel. (Akoya pixel is 377nm square) | ||
| resolution_y_unit | The unit of measurement of height of a pixel. (nm) | mm um nm |
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| resolution_y_value | The height of a pixel. (Akoya pixel is 377nm square) | ||
| increment_z_unit | The units of increment z value. | nm um |
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| increment_z_value | The distance between sequential optical sections. | ||
| step_z_value | The number of optical sections in z axis range. | ||
| range_z_value | The total range of the z axis. | ||
| range_z_unit | The unit of range_z_value. | nm um |
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| version | Version of the schema to use when validating this metadata. | 1 |