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Imaging Level 1

An Imaging Level 1 entry describes a raw imaging data file — the unprocessed output of a microscope, scanner, or other imaging platform, prior to any quality control, co-registration, or downstream processing. This is the earliest and most complete record of what was captured during an imaging experiment, and includes the acquisition context (assay type, platform model and manufacturer, acquisition software, protocol link) along with standard file-level descriptors such as file format, species, and design.

Because raw images are typically generated per-channel or per-acquisition, Imaging Level 1 entries link back to the corresponding channel metadata via the ImagingChannel Key, and forward to the biospecimen that was imaged via Biospecimen Key. This level anchors the full imaging data provenance chain: every downstream processed image, segmentation, or feature array (Imaging Levels 2–4) traces back to the raw file(s) documented here.

Why You Should Contribute Imaging Level 1 Entries

Contributing Imaging Level 1 entries ensures that raw imaging outputs are properly cataloged, discoverable, and traceable back to the specimen and acquisition settings that produced them — the foundation that all subsequent image processing and analysis depends on.

Who Should Be Contributing Imaging Level 1 Entries?

  1. Imaging Scientists – Document raw image files and the acquisition settings used to generate them.
  2. Core Facility Staff – Record platform, instrument, and software details at the point of image acquisition.
  3. Computational Imaging Analysts – Ensure raw file metadata is complete so it can be correctly linked to downstream processed and derived imaging products.
  4. Data Managers – Track raw imaging files as they are deposited to ensure completeness of the imaging data provenance chain.

Download Template

You can download the ImagingLevel1 CSV template to streamline data entry.

Full Field Reference

Below is the full field reference table with attributes and their descriptions.

Attribute Description Required Column Type Format Regex Pattern Standard Terms Examples
ImagingLevel1_id Unique row identifier, used as a primary key for record updates. This should be equivalent to the file Synapse Id unless otherwise indicated. True string None ^syn\d{7,8}$ None
Filename The path of a file in Synapse, relative to the project. The file associated with the path will be annotated with attributes contained in this sheet. False string None None None
Biospecimen Key Unique Biospecimen_id foreign key(s) that link metadata entries as part of the same collection. Please provide multiple values as a comma-separated list. False string None -B\d{1,9} None
Study Key The unique Study_id foreign keys associated with the resource, found in the grant Study information. Used to group the resource with other components. Please provide multiple values as a comma-separated list. False string None None None
DatasetView Key Unique DatasetView_id foreign key(s) that link metadata entries as part of the same collection. Please provide multiple values as a comma-separated list. False string None None None
File Alias A string identifier associated with the file. Must be unique. Can be the repository accesssion number (e.g., Synapse ID, GEO identifier such as GSE12345). No Greek Letters or DOIs. True string None None None
File Description Description of the file. False string None None None
File Design The overall design of the dataset or file, including a batch identifier, if applicable. False string None None None
File Level The processing level the file can be mapped to. True string None None View
File Assay The assay the file is representative of. True string None None View
File Species The species the data was collected on. True string None None View
File Url The url of where the file is stored. True string uri None None
File Format The format of the file described by this entry. True string None None View
File Data Use Codes DUO code - A data item that is used to indicate consent permissions for datasets and/or materials, and relates to the purposes for which datasets and/or material might be removed, stored or used. Available DUO code definitions can be found here: https://mc2-center.github.io/data-models/valid_values/study/#attribute-study-data-use-codes False string_list None None None
File Longitudinal Group A label that can be used to identify groups of files from the same longitudinal/time-resolved experiment False string None None None
File Longitudinal Event Type The type of event to which File Longitudinal Total Time Elapsed is related False string None None View
File Longitudinal Sequence Identifier The order in which this file was collected with respect to the longitudinal experiment (e.g., 1, 2, etc.). Integer. False number None None None
File Longitudinal Time Elapsed Unit The unit of time associated with Sequential and Total Time Elapsed attributes. False string None None None
File Longitudinal Total Time Elapsed The total time elapsed between the first and current files contained this longitudinal group. False number None None None
Image Assay Type Type of imaging assay True string None None View
Image Protocol Link Protocols.io ID or DOI link to a free/open protocol resource describing in detail the assay protocol (e.g. surface markers used in Smart-seq, dissociation duration, lot/batch numbers for key reagents such as primers, sequencing reagent kits, etc.) or the protocol by which the sample was obtained or generated. False string uri None None
Image Platform Model The specific model of the instrument used to carry out an imaging experiment. False string None None None
Image Platform Manufacturer Producer of the imaging equipment that was used to generate the digital image False string None None None
Image Software The name of the software package that was used to capture, generate, and process the image. False string None None None
ImagingChannel Key Unique ImagingChannel_id foreign key(s) that link metadata entries as part of the same Dataset. Please provide multiple values as a comma-separate list. False string None None None