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# Tutorial

## Metadata

OME-Files supports several different classes of metadata, from very basic information about the image dimensions and pixel type to detailed information about the acquisition hardware and experimental parameters. From simplest to most complex, these are:

Core metadata
  Basic information describing an individual 5D image (series), including dimension sizes, dimension order and pixel type
Original metadata
  Key-value pairs describing metadata from the original file format for the image. Two forms exist: global metadata for an entire dataset (image collection) and series metadata for an individual 5D image
Metadata store
  A container for all image metadata providing interfaces to get and set individual metadata values. This is a superset of the core and original metadata content (it can represent all values contained within the core and original metadata). It is an alternative representation of the OME-XML data model objects, and is used by the OME-Files reader and writer interfaces.
OME-XML data model objects
  The abstract OME-XML data model is realized as a collection of model objects. Classes are generated from the elements of the OME-XML data model schema, and a tree of the model objects acts as a representation of the OME data model which may be modified and manipulated. The model objects may be created from an OME-XML text document, and vice versa.

For the simplest cases of reading and writing image data, the core metadata interface will likely be sufficient. If specific individual parameters from the original file format are needed, then original metadata may also be useful. For more advanced processing and rendering, the metadata store should be the next source of information, for example to get information about the image scale, stage position, instrument setup including light sources, light paths, detectors etc., and access to plate/well information, regions of interest etc. Direct access to the OME-XML data model objects is an alternative to the metadata store, but is more difficult to use; certain modifications to the data model may only be made via direct access to the model objects, otherwise the higher-level metadata store interface should be preferred.

The header file ome/files/MetadataTools.h provides several convenience functions to work with and manipulate the various forms of metadata, including conversion of Core metadata to and from a metadata store.

### Core metadata

Core metadata is accessible through the getter methods in the `FormatReader` interface. These operate on the current series, set using the `setSeries()` method. The `CoreMetadata` objects are also accessible directly using the `getCoreMetadataList` method. The `FormatReader` interface should be preferred; the objects themselves are more of an implementation detail at present.

      void
      readMetadata(const FormatReader& reader,
                   std::ostream&       stream)
      {
        // Get total number of images (series)
        dimension_size_type ic = reader.getSeriesCount();
        stream << "Image count: " << ic << '\n';

        // Loop over images
        for (dimension_size_type i = 0 ; i < ic; ++i)
          {
            // Change the current series to this index
            reader.setSeries(i);

            // Print image dimensions (for this image index)
            stream << "Dimensions for Image " << i << ':'
                   << "\n\tX = " << reader.getSizeX()
                   << "\n\tY = " << reader.getSizeY()
                   << "\n\tZ = " << reader.getSizeZ()
                   << "\n\tT = " << reader.getSizeT()
                   << "\n\tC = " << reader.getSizeC()
                   << "\n\tEffectiveC = " << reader.getEffectiveSizeC();
            for (dimension_size_type channel = 0;
                 channel < reader.getEffectiveSizeC();
                 ++channel)
              {
                stream << "\n\tChannel " << channel << ':'
                       << "\n\t\tRGB = " << (reader.isRGB(channel) ? "true" : "false")
                       << "\n\t\tRGBC = " << reader.getRGBChannelCount(channel);
              }
            stream << '\n';

            // Get total number of planes (for this image index)
            dimension_size_type pc = reader.getImageCount();
            stream << "\tPlane count: " << pc << '\n';

            // Loop over planes (for this image index)
            for (dimension_size_type p = 0 ; p < pc; ++p)
              {
                // Print plane position (for this image index and plane
                // index)
                ome::compat::array<dimension_size_type, 3> coords =
                  reader.getZCTCoords(p);
                stream << "\tPosition of Plane " << p << ':'
                       << "\n\t\tTheZ = " << coords[0]
                       << "\n\t\tTheT = " << coords[2]
                       << "\n\t\tTheC = " << coords[1]
                       << '\n';
              }
          }
      }

If implementing a reader, it is fairly typical to set the basic image metadata in `CoreMetadata` objects, and then use the `fillMetadata()` function in ome/files/MetadataTools.h to fill the reader’s metadata store with this information, before filling the metadata store with additional (non-core) metadata as required. When writing an image, a metadata store is required in order to provide the writer with all the metadata needed to write an image. If the metadata store was not already obtained from a reader, `fillMetadata()` may also be used in this situation to create a suitable metadata store:

      shared_ptr< ::ome::xml::meta::OMEXMLMetadata>
      createMetadata()
      {
        // OME-XML metadata store.
        shared_ptr< ::ome::xml::meta::OMEXMLMetadata> meta(make_shared< ::ome::xml::meta::OMEXMLMetadata>());

        // Create simple CoreMetadata and use this to set up the OME-XML
        // metadata.  This is purely for convenience in this example; a
        // real writer would typically set up the OME-XML metadata from an
        // existing MetadataRetrieve instance or by hand.
        std::vector<shared_ptr<CoreMetadata> > seriesList;
        shared_ptr<CoreMetadata> core(make_shared<CoreMetadata>());
        core->sizeX = 512U;
        core->sizeY = 512U;
        core->sizeC.clear(); // defaults to 1 channel with 1 subchannel; clear this
        core->sizeC.push_back(3U); // replace with single RGB channel
        core->pixelType = ome::xml::model::enums::PixelType::UINT16;
        core->interleaved = false;
        core->bitsPerPixel = 12U;
        core->dimensionOrder = DimensionOrder::XYZTC;
        seriesList.push_back(core);
        seriesList.push_back(core); // add two identical series

        fillMetadata(*meta, seriesList);

        return meta;
      }

Full example source: `metadata-formatreader.cpp`, `metadata-formatreader.cpp`

See also

- CoreMetadata
- FormatReader

### Original metadata

Original metadata is stored in two forms: in a `MetadataMap` which is accessible through the `FormatReader` interface, which offers access to individual keys and the whole map for both global and series metadata. It is also accessible using the metadata store; original metadata is stored as an `XMLAnnotation`. The following example demonstrates access to the global and series metadata using the `FormatReader` interface to get access to the maps:

      void
      readOriginalMetadata(const FormatReader& reader,
                           std::ostream&       stream)
      {
        // Get total number of images (series)
        dimension_size_type ic = reader.getSeriesCount();
        stream << "Image count: " << ic << '\n';

        // Get global metadata
        const MetadataMap& global = reader.getGlobalMetadata();

        // Print global metadata
        stream << "Global metadata:\n" << global << '\n';

        // Loop over images
        for (dimension_size_type i = 0 ; i < ic; ++i)
          {
            // Change the current series to this index
            reader.setSeries(i);

            // Print series metadata
            const MetadataMap& series = reader.getSeriesMetadata();

            // Print image dimensions (for this image index)
            stream << "Metadata for Image " << i << ":\n"
                   << series
                   << '\n';
          }
      }

It would also be possible to use `getMetadataValue()` and `getSeriesMetadataValue()` to obtain values for individual keys. Note that the `MetadataMap` values can be scalar values or lists of scalar values; call the `flatten()` method to split the lists into separate key-value pairs with a numbered suffix.

Full example source: `metadata-formatreader.cpp`

See also

- MetadataMap
- FormatReader
- OriginalMetadataAnnotation

### Metadata store

Access to metadata is provided via the `MetadataStore` and `MetadataRetrieve` interfaces. These provide setters and getters, respectively, to store and retrieve metadata to and from an underlying abstract metadata store. The primary store is the `OMEXMLMetadata` which stores the metadata in OME-XML data model objects (see below), and implements both interfaces. However, other storage classes are available, and may be used to filter the stored metadata, combine different stores, or do nothing at all. Additional storage backends could also be implemented, for example to allow metadata retrieval from a relational database, or JSON/YAML.

When using `OMEXMLMetadata` the convenience function `createOMEXMLMetadata()` is the recommended method for creating a new instance and then filling it with the content from an OME-XML document. This is overloaded to allow the OME-XML to be obtained from various sources. For example, from a file:

        // Create metadata directly from file
        shared_ptr<meta::OMEXMLMetadata> filemeta(createOMEXMLMetadata(filename));

Alternatively from a DOM tree:

        // XML platform (required by Xerces)
        xml::Platform xmlplat;
        // XML DOM tree containing parsed file content
        xml::dom::Document inputdoc(ome::xml::createDocument(filename));
        // Create metadata from DOM document
        shared_ptr<meta::OMEXMLMetadata> dommeta(createOMEXMLMetadata(inputdoc));

The convenience function `getOMEXML()` may be used to reverse the process, i.e. obtain an OME-XML document from the store. Note the use of `convert()`. Only the `OMEXMLMetadata` class can dump an OME-XML document, therefore if the source of the data is another class implementing the `MetadataRetrieve` interface, the stored data will need to be copied into an `OMEXMLMetadata` instance first.

        meta::OMEXMLMetadata *omexmlmeta = dynamic_cast<meta::OMEXMLMetadata *>(&meta);
        shared_ptr<meta::OMEXMLMetadata> convertmeta;
        if (!omexmlmeta)
          {
            convertmeta = make_shared<meta::OMEXMLMetadata>();
            meta::convert(meta, *convertmeta);
            omexmlmeta = &*convertmeta;
          }
        // Get OME-XML text from metadata store (and validate it)
        std::string omexml(getOMEXML(*omexmlmeta, true));

Conceptually, the metadata store contains lists of objects, accessed by index (insertion order). In the example below, `getImageCount()` method is used to find the number of images. This is then used to safely loop through each of the available images. Each of the `getPixelsSizeA()` methods takes the image index as its only argument. Internally, this is used to find the `Image` model object for the specified index, and then call the `getSizeA()` method on that object and return the result. Since objects can contain other objects, some accessor methods require the use of more than one index. For example, an `Image` object can contain multiple `Plane` objects. Similar to the above example, there is a `getPlaneCount()` method, however since it is contained by an `Image` it has an additional image index argument to get the plane count for the specified image. Likewise its accessors such as `getPlaneTheZ()` take two arguments, the image index and the plane index. Internally, these indices will be used to find the `Image`, then the `Plane`, and then call `getTheZ()`. When using the `MetadataRetrieve` interface with an `OMEXMLMetadata` store, the methods are simply a shorthand for navigating through the tree of model objects.

      void
      queryMetadata(const meta::MetadataRetrieve& meta,
                    const std::string&            state,
                    std::ostream&                 stream)
      {
        // Get total number of images (series)
        index_type ic = meta.getImageCount();
        stream << "Image count: " << ic << '\n';

        // Loop over images
        for (index_type i = 0 ; i < ic; ++i)
          {
            // Print image dimensions (for this image index)
            stream << "Dimensions for Image " << i << ' ' << state << ':'
                   << "\n\tX = " << meta.getPixelsSizeX(i)
                   << "\n\tY = " << meta.getPixelsSizeY(i)
                   << "\n\tZ = " << meta.getPixelsSizeZ(i)
                   << "\n\tT = " << meta.getPixelsSizeT(i)
                   << "\n\tC = " << meta.getPixelsSizeC(i)
                   << '\n';

            // Get total number of planes (for this image index)
            index_type pc = meta.getPlaneCount(i);
            stream << "\tPlane count: " << pc << '\n';

            // Loop over planes (for this image index)
            for (index_type p = 0 ; p < pc; ++p)
              {
                // Print plane position (for this image index and plane
                // index)
                stream << "\tPosition of Plane " << p << ':'
                       << "\n\t\tTheZ = " << meta.getPlaneTheZ(i, p)
                       << "\n\t\tTheT = " << meta.getPlaneTheT(i, p)
                       << "\n\t\tTheC = " << meta.getPlaneTheC(i, p)
                       << '\n';
              }
          }
      }

The methods for storing data using the `MetadataStore` interface are similar. The set methods use the same indices as the get methods, with the value to set as an additional initial argument. The following example demonstrates how to update dimension sizes for images in the store:

      void
      updateMetadata(meta::Metadata& meta)
      {
        // Get total number of images (series)
        index_type ic = meta.getImageCount();

        // Loop over images
        for (index_type i = 0 ; i < ic; ++i)
          {
            // Change image dimensions (for this image index)
            meta.setPixelsSizeX(12, i);
            meta.setPixelsSizeY(24, i);
            meta.setPixelsSizeZ(6, i);
            meta.setPixelsSizeT(30, i);
            meta.setPixelsSizeC(4, i);
          }
      }

When adding new objects to the store, as opposed to updating existing ones, some additional considerations apply. An new object is added to the store if the object corresponding to an index does not exist and the index is the current object count (i.e. one past the end of the last valid index). Note that for data model objects with a `setID()` method, this method alone will trigger insertion and must be called first, before any other methods which modify the object. The following example demonstrates the addition of a new `Image` to the store, plus contained `Plane` objects.

      void
      addMetadata(meta::Metadata& meta)
      {
        // Get total number of images (series)
        index_type i = meta.getImageCount();

        // Size of Z, T and C dimensions
        index_type nz = 3;
        index_type nt = 1;
        index_type nc = 4;

        // Create new image; the image index is the same as the image
        // count, i.e. one past the end of the current limit; createID
        // creates a unique identifier for the image
        meta.setImageID(createID("Image", i), i);
        // Set Pixels identifier using createID and the same image index
        meta.setPixelsID(createID("Pixels", i), i);
        // Now set the dimension order, pixel type and dimension sizes for
        // this image, using the same image index
        meta.setPixelsDimensionOrder(model::enums::DimensionOrder::XYZTC, i);
        meta.setPixelsType(model::enums::PixelType::UINT8, i);
        meta.setPixelsSizeX(256, i);
        meta.setPixelsSizeY(256, i);
        meta.setPixelsSizeZ(nz, i);
        meta.setPixelsSizeT(nt, i);
        meta.setPixelsSizeC(nc, i);

        // Plane count
        index_type pc = nz * nc * nt;

        // Loop over planes
        for(index_type p = 0; p < pc; ++p)
          {
            // Get the Z, T and C coordinate for this plane index
            array<dimension_size_type, 3> coord =
              getZCTCoords("XYZTC", nz, nc, nt, pc, p);

            // Set the plane position using the image index and plane
            // index to reference the correct plane
            meta.setPlaneTheZ(coord[0], i, p);
            meta.setPlaneTheT(coord[2], i, p);
            meta.setPlaneTheC(coord[1], i, p);
          }

        // Add MetadataOnly to Pixels since this is an example without
        // TiffData or BinData
        meta::OMEXMLMetadata *omexmlmeta = dynamic_cast<meta::OMEXMLMetadata *>(&meta);
        if (omexmlmeta)
          addMetadataOnly(*omexmlmeta, i);
      }

Full example source: `metadata-io.cpp`

See also

- Metadata classes
- createID
- createOMEXMLMetadata
- getOMEXML

### OME-XML data model objects

The data model objects are not typically used directly, but are created, modified and queried using the `Metadata` interfaces (above), so in practice these examples should not be needed.

To create a tree of OME-XML data model objects from OME-XML text:

        // XML DOM tree containing parsed file content
        xml::dom::Document inputdoc(ome::xml::createDocument(filename));
        // OME Model (needed only during parsing to track model object references)
        model::detail::OMEModel model;
        // OME Model root object
        shared_ptr<model::OME> modelroot(make_shared<model::OME>());
        // Fill OME model object tree from XML DOM tree
        modelroot->update(inputdoc.getDocumentElement(), model);

In this example, the OME-XML text is read from a file into a DOM tree. This could have been read directly from a string or stream if the source was not a file. The DOM tree is then processed using the `OME` root object’s `update()` method, which uses the data from the DOM tree elements to create a tree of corresponding model objects contained by the root object.

To reverse the process, taking a tree of OME-XML model objects and converting them back of OME-XML text:

        // Schema version to use
        const std::string schema("http://www.openmicroscopy.org/Schemas/OME/2013-06");
        // XML DOM tree (initially containing an empty OME root element)
        xml::dom::Document outputdoc(xml::dom::createEmptyDocument(schema, "OME"));
        // Fill output DOM document from OME-XML model
        modelroot->asXMLElement(outputdoc);
        // Dump DOM tree as text to stream
        xml::dom::writeDocument(outputdoc, stream);

Here, the `OME` root object’s `asXMLElement()` method is used to copy the data from the OME root object and its children into an XML DOM tree. The DOM tree is then converted to text for output.

Full example source: `model-io.cpp`

See also

- OME model classes
- OME

## Pixel data

The Bio-Formats Java implementation stores and passes pixel values in a raw `byte` array. Due to limitations with C++ array passing, this was not possible for the OME-Files C++ implementation. While a vector or other container could have been used, several problems remain. The type and endianness of the data in the raw bytes is not known, and the dimension ordering and dimension extents are also unknown, which imposes a significant burden on the programmer to correctly process the data. The C++ implementation provides two types to solve these problems.

The `PixelBuffer` class is a container of pixel data. It is a template class, templated on the pixel type in use. The class contains the order of the dimensions, and the size of each dimension, making it possible to process pixel data without need for externally-provided metadata to describe its structure. This class may be used to contain and process pixel data of a specific pixel type. Internally, the pixel data is contained within a `boost::multi_array` as a 9D hyper-volume, though its usage in this release of OME-Files is limited to 5D. The class can either contain its own memory allocation for pixel data, or it can reference memory allocated or mapped externally, allowing use with memory-mapped data, for example.

In many situations, it is desirable to work with arbitrary pixel types, or at least the set of pixel types defined in the OME data model in its `PixelType` enumeration. The `VariantPixelBuffer` fulfills this need, using `boost::variant` to allow it to contain a `PixelBuffer` specialized for any of the pixel types in the OME data model. This is used to allow transfer and processing of any supported pixel type, for example by the `FormatReader` class’ `getLookupTable()` and `openBytes()` methods, and the corresponding `FormatWriter` class’ `setLookupTable()` and `saveBytes()` methods.

An additional problem with supporting many different pixel types is that each operation upon the pixel data, for example for display or analysis, may require implementing separately for each pixel type. This imposes a significant testing and maintenance burden. `VariantPixelBuffer` solves this problem through use of `boost::apply_visitor()` and `boost::static_visitor`, which allow algorithms to be defined in a template and compiled for each pixel type. They also allow algorithms to be specialized for different classes of pixel type, for example signed vs. unsigned, integer vs. floating point, or simple vs. complex, or special-cased per type e.g. for bitmasks. When `boost::apply_visitor()` is called with a specified algorithm and `VariantPixelBuffer` object, it will select the matching algorithm for the pixel type contained within the buffer, and then invoke it on the buffer. This permits the programmer to support arbitrary pixel types without creating a maintenance nightmare, and without unnecessary code duplication.

The 9D pixel buffer makes a distinction between the logical dimension order (used by the API) and the storage order (the layout of the pixel data in memory). The logical order is defined by the values in the Dimensions enum. The storage order is specified by the programmer when creating a pixel buffer.

The following example shows creation of a pixel buffer with a defined size, and default storage order:

        // Language type for FLOAT pixel data
        typedef PixelProperties<PixelType::FLOAT>::std_type float_pixel_type;
        // Create PixelBuffer for floating point data
        // X=512 Y=512 Z=16 T=1 C=3 S/z/t/c=1
        PixelBuffer<float_pixel_type> buffer
          (boost::extents[512][512][16][1][3][1][1][1][1], PixelType::FLOAT);

The storage order may be set explicitly. The order may be created by hand, or with a helper function. While the helper function is limited to supporting the ordering defined by the data model, specifying the order by hand allows additional flexibility. Manual ordering may be used to allow the indexing for individual dimensions to run backward rather than forward, which is useful if the Y-axis requires inverting, for example. The following example shows creation of two pixel buffers with defined storage order using the helper function:

        // Language type for UINT16 pixel data
        typedef PixelProperties<PixelType::UINT16>::std_type uint16_pixel_type;
        // Storage order is XYSCTZztc; subchannels are not interleaved
        // ("planar") after XY; lowercase letters are unused Modulo
        // dimensions
        PixelBufferBase::storage_order_type order1
          (PixelBufferBase::make_storage_order(DimensionOrder::XYCTZ, false));
        // Create PixelBuffer for unsigned 16-bit data with specified
        // storage order
        // X=512 Y=512 Z=16 T=1 C=3 S/z/t/c=1
        PixelBuffer<uint16_pixel_type> buffer1
          (boost::extents[512][512][16][1][3][1][1][1][1],
           PixelType::UINT16,
           ome::files::ENDIAN_NATIVE,
           order1);

        // Language type for INT8 pixel data
        typedef PixelProperties<PixelType::INT8>::std_type int8_pixel_type;
        // Storage order is SXYZCTztc; subchannels are interleaved
        // ("chunky") before XY; lowercase letters are unused Modulo
        // dimensions
        PixelBufferBase::storage_order_type order2
          (PixelBufferBase::make_storage_order(DimensionOrder::XYZCT, true));
        // Create PixelBuffer for signed 8-bit RGB data with specified storage
        // order
        // X=1024 Y=1024 Z=1 T=1 C=1 S=3 z/t/c=1
        PixelBuffer<int8_pixel_type> buffer2
          (boost::extents[1024][1024][1][1][1][3][1][1][1],
           PixelType::INT8,
           ome::files::ENDIAN_NATIVE,
           order2);

Note that the logical order of the dimension extents is unchanged.

In practice, it is unlikely that you will need to create any `PixelBuffer` objects directly. The `FormatReader` and `FormatWriter` interfaces use `VariantPixelBuffer` objects, and in the case of the reader interface the `getLookupTable()` and `openBytes()` methods can be passed a default-constructed `VariantPixelBuffer` and it will be set up automatically, changing the image dimensions, dimension order and pixel type to match the data being fetched, if the size, order and type do not match. For example, to read all pixel data in an image using `openBytes()`:

      void
      readPixelData(const FormatReader& reader,
                    std::ostream&       stream)
      {
        // Get total number of images (series)
        dimension_size_type ic = reader.getSeriesCount();
        stream << "Image count: " << ic << '\n';

        // Loop over images
        for (dimension_size_type i = 0 ; i < ic; ++i)
          {
            // Change the current series to this index
            reader.setSeries(i);

            // Get total number of planes (for this image index)
            dimension_size_type pc = reader.getImageCount();
            stream << "\tPlane count: " << pc << '\n';

            // Pixel buffer
            VariantPixelBuffer buf;

            // Loop over planes (for this image index)
            for (dimension_size_type p = 0 ; p < pc; ++p)
              {
                // Read the entire plane into the pixel buffer.
                reader.openBytes(p, buf);

                // If this wasn't an example, we would do something
                // exciting with the pixel data here.
                stream << "Pixel data for Image " << i
                       << " Plane " << p << " contains "
                       << buf.num_elements() << " pixels\n";
              }
          }
      }

To perform the reverse process, writing pixel data with `saveBytes()`:

      void
      writePixelData(FormatWriter& writer,
                     std::ostream& stream)
      {
        // Total number of images (series)
        dimension_size_type ic = writer.getMetadataRetrieve()->getImageCount();
        stream << "Image count: " << ic << '\n';

        // Loop over images
        for (dimension_size_type i = 0 ; i < ic; ++i)
          {
            // Change the current series to this index
            writer.setSeries(i);

            // Total number of planes.
            dimension_size_type pc = 1U;
            pc *= writer.getMetadataRetrieve()->getPixelsSizeZ(i);
            pc *= writer.getMetadataRetrieve()->getPixelsSizeT(i);
            pc *= writer.getMetadataRetrieve()->getChannelCount(i);
            stream << "\tPlane count: " << pc << '\n';

            // Loop over planes (for this image index)
            for (dimension_size_type p = 0 ; p < pc; ++p)
              {
                // Pixel buffer; size 512 × 512 with 3 subchannels of type
                // uint16_t.  It uses the native endianness and has a
                // storage order of XYZTC without interleaving
                // (subchannels are planar).
                shared_ptr<PixelBuffer<PixelProperties<PixelType::UINT16>::std_type> >
                  buffer(make_shared<PixelBuffer<PixelProperties<PixelType::UINT16>::std_type> >
                         (boost::extents[512][512][1][1][1][3][1][1][1],
                          PixelType::UINT16, ome::files::ENDIAN_NATIVE,
                          PixelBufferBase::make_storage_order(DimensionOrder::XYZTC, false)));

                // Fill each subchannel with a different intensity ramp in
                // the 12-bit range.  In a real program, the pixel data
                // would typically be obtained from data acquisition or
                // another image.
                for (dimension_size_type x = 0; x < 512; ++x)
                  for (dimension_size_type y = 0; y < 512; ++y)
                    {
                      PixelBufferBase::indices_type idx;
                      std::fill(idx.begin(), idx.end(), 0);
                      idx[DIM_SPATIAL_X] = x;
                      idx[DIM_SPATIAL_Y] = y;

                      idx[DIM_SUBCHANNEL] = 0;
                      buffer->at(idx) = (static_cast<float>(x) / 512.0f) * 4096.0f;
                      idx[DIM_SUBCHANNEL] = 1;
                      buffer->at(idx) = (static_cast<float>(y) / 512.0f) * 4096.0f;
                      idx[DIM_SUBCHANNEL] = 2;
                      buffer->at(idx) = (static_cast<float>(x+y) / 1024.0f) * 4096.0f;
                    }

                VariantPixelBuffer vbuffer(buffer);
                stream << "PixelBuffer PixelType is " << buffer->pixelType() << '\n';
                stream << "VariantPixelBuffer PixelType is " << vbuffer.pixelType() << '\n';
                stream << std::flush;

                // Write the the entire pixel buffer to the plane.
                writer.saveBytes(p, vbuffer);

                stream << "Wrote " << buffer->num_elements() << ' ' << buffer->pixelType() << " pixels\n";
              }
          }
      }

Both buffer classes provide access to the pixel data so that it may be accessed, manipulated and passed elsewhere. The `PixelBuffer` class provides an `at` method. This allows access to individual pixel values using a 9D coordinate:

        // Set all pixel values for Z=2 and C=1 to 0.5
        // 9D index, default values to zero if unused
        PixelBuffer<float_pixel_type>::indices_type idx;
        // Set Z and C indices
        idx[ome::files::DIM_SPATIAL_Z] = 2;
        idx[ome::files::DIM_CHANNEL] = 1;
        idx[ome::files::DIM_TEMPORAL_T] =
          idx[ome::files::DIM_SUBCHANNEL] =
          idx[ome::files::DIM_MODULO_Z] =
          idx[ome::files::DIM_MODULO_T] =
          idx[ome::files::DIM_MODULO_C] = 0;

        for (uint16_t x = 0; x < 512; ++x)
          {
            idx[ome::files::DIM_SPATIAL_X] = x;
            for (uint16_t y = 0; y < 512; ++y)
              {
                idx[ome::files::DIM_SPATIAL_Y] = y;
                buffer.at(idx) = 0.5f;
              }
          }

Conceptually, this is the same as using an index for a normal 1D array, but extended to use an array of nine indices for each of the nine dimensions, in the logical storage order. The `VariantPixelBuffer` does not provide an `at` method for efficiency reasons. Instead, visitors should be used for the processing of bulk pixel data. For example, this is one way the minimum and maximum pixel values could be obtained:

      // Visitor to compute min and max pixel value for pixel buffer of
      // any pixel type
      // The static_visitor specialization is the required return type of
      // the operator() methods and boost::apply_visitor()
      struct MinMaxVisitor : public boost::static_visitor<std::pair<double, double> >
      {
        // The min and max values will be returned in a pair.  double is
        // used since it can contain the value for any pixel type
        typedef std::pair<double, double> result_type;

        // Get min and max for any non-complex pixel type
        template<typename T>
        result_type
        operator() (const T& v)
        {
          typedef typename T::element_type::value_type value_type;

          value_type *min = std::min_element(v->data(),
                                             v->data() + v->num_elements());
          value_type *max = std::max_element(v->data(),
                                             v->data() + v->num_elements());

          return result_type(static_cast<double>(*min),
                             static_cast<double>(*max));
        }

        // Less than comparison for real part of complex numbers
        template <typename T>
        static bool
        complex_real_less(const T& lhs, const T& rhs)
        {
          return std::real(lhs) < std::real(rhs);
        }

        // Greater than comparison for real part of complex numbers
        template <typename T>
        static bool
        complex_real_greater(const T& lhs, const T& rhs)
        {
          return std::real(lhs) > std::real(rhs);
        }

        // Get min and max for complex pixel types (COMPLEX and
        // DOUBLECOMPLEX)
        // This is the same as for simple pixel types, except for the
        // addition of custom comparison functions and conversion of the
        // result to the real part.
        template <typename T>
        typename boost::enable_if_c<
          boost::is_complex<T>::value, result_type
          >::type
        operator() (const ome::compat::shared_ptr<PixelBuffer<T> >& v)
        {
          typedef T value_type;

          value_type *min = std::min_element(v->data(),
                                             v->data() + v->num_elements(),
                                             complex_real_less<T>);
          value_type *max = std::max_element(v->data(),
                                             v->data() + v->num_elements(),
                                             complex_real_greater<T>);

          return result_type(static_cast<double>(std::real(*min)),
                             static_cast<double>(std::real(*max)));
        }
      };

      void
      applyVariant()
      {
        // Make variant buffer (int32, 16×16 single plane)
        VariantPixelBuffer variant(boost::extents[16][16][1][1][1][1][1][1][1],
                                   PixelType::INT32);
        // Get buffer size
        VariantPixelBuffer::size_type size = variant.num_elements();
        // Create sample random-ish data
        std::vector<int32_t> vec;
        for (VariantPixelBuffer::size_type i = 0; i < size; ++i)
          {
            int32_t val = static_cast<int32_t>(i + 42);
            vec.push_back(val);
          }
        std::random_shuffle(vec.begin(), vec.end());
        // Assign sample data to buffer.
        variant.assign(vec.begin(), vec.end());

        // Create and apply visitor
        MinMaxVisitor visitor;
        MinMaxVisitor::result_type result = boost::apply_visitor(visitor, variant.vbuffer());

        std::cout << "Min is " << result.first
                  << ", max is " << result.second << '\n';
      }

This example demonstrates several features:

- The visitor operators can return values to the caller (for more complex algorithms, the visitor class could use member variables and additional methods)
- The operator is expanded once for each pixel type
- The operators can be special-cased for individual pixel types; here we use the SFINAE rule to implement a specialization for an entire category of pixel types (complex numbers), but standard function overloading and templates will also work for more common cases
- Pixel data can be assigned to the buffer with a single `assign()` call.

The OME-Files source uses pixel buffer visitors for several purposes, for example to load pixel data into OpenGL textures, which automatically handles pixel format conversion and repacking of pixel data as needed.

While the pixel buffers may appear complex, they do permit the OME Files library to support all pixel types with relative ease, and it will allow your applications to also handle multiple pixel types by writing your own visitors. Assignment of one buffer to another will also repack the pixel data if they use different storage ordering (i.e. the logical ordering is used for the copy), which can be useful if you need the pixel data in a defined ordering.

If all you want is access to the raw data, as in the Java API, you are not required to use the above features. Simply use the `data()` method on the buffer to get a pointer to the raw data. Note that you will need to multiply the buffer size obtained with `num_elements()` by the size of the pixel type (use `bytesPerPixel()` or `sizeof()` on the buffer `value_type`).

Alternatively, it is also possible to access the underlying `boost::multi_array` using the `array()` method, if you need access to functionality not wrapped by `PixelBuffer`.

Full example source: `pixeldata.cpp`

See also

- PixelType
- PixelBuffer
- VariantPixelBuffer
- FormatReader::getLookupTable
- FormatReader::openBytes
- FormatWriter::setLookupTable
- FormatWriter::saveBytes

## Reading images

Image reading is performed using the `FormatReader` interface. This is an abstract reader interface implemented by file-format-specific reader classes. Examples of readers include `TIFFReader`, which implements reading of Baseline TIFF (optionally with additional ImageJ metadata), and `OMETIFFReader` which implements reading of OME-TIFF (TIFF with OME-XML metadata).

Using a reader involves these steps:

1. Create a reader instance.
2. Set options to control reader behavior.
3. Call `setId()` to specify the image file to read.
4. Retrieve desired metadata and pixel data.
5. Close the reader.

These steps are illustrated in this example:

              // Create TIFF reader
              shared_ptr<FormatReader> reader(make_shared<TIFFReader>());

              // Set reader options before opening a file
              reader->setMetadataFiltered(false);
              reader->setGroupFiles(true);

              // Open the file
              reader->setId(filename);

              // Display series core metadata
              readMetadata(*reader, std::cout);

              // Display global and series original metadata
              readOriginalMetadata(*reader, std::cout);

              // Read pixel data
              readPixelData(*reader, std::cout);

              // Explicitly close reader
              reader->close();

Here we create a reader to read TIFF files, set two options (metadata filtering and file grouping), and then call `setId()`. At this point the reader has been set up and initialized, and we can then read metadata and pixel data, which we covered in the preceding sections. You might like to combine this example with the `MinMaxVisitor` example to make it display the minimum and maximum values for each plane in an image; if you try running the example with TIFF images of different pixel types, it will transparently adapt to any supported pixel type.

Note

Reader option-setting methods may only be called before `setId()`. Reader state changing and querying methods such as `setSeries()` and `getSeries()`, metadata retrieval and pixel data retrieval methods may only be called after `setId()`. If these constraints are violated, a `FormatException` will be thrown.

Full example source: `metadata-formatreader.cpp`

See also

- FormatReader
- TIFFReader
- OMETIFFReader

## Writing images

Image writing is performed using the `FormatWriter` interface. This is an abstract writer interface implemented by file-format-specific writer classes. Examples of writers include `MinimalTIFFWriter`, which implements writing of Baseline TIFF and `OMETIFFWriter` which implements writing of OME-TIFF (TIFF with OME-XML metadata).

Using a writer involves these steps:

1. Create a writer instance.
2. Set metadata store to use.
3. Set options to control writer behavior.
4. Call `setId()` to specify the image file to write.
5. Store pixel data for each plane of each image in the specified dimension order.
6. Close the writer.

These steps are illustrated in this example:

              // Create metadata for the file to be written.
              shared_ptr< ::ome::xml::meta::MetadataRetrieve> meta(createMetadata());

              // Create TIFF writer
              shared_ptr<FormatWriter> writer(make_shared<OMETIFFWriter>());

              // Set writer options before opening a file
              writer->setMetadataRetrieve(meta);
              writer->setInterleaved(false);

              // Open the file
              writer->setId(filename);

              // Write pixel data
              writePixelData(*writer, std::cout);

              // Explicitly close writer
              writer->close();

Here we create a writer to write OME-TIFF files, set the metadata store using metadata we create, then set a writer option (sample interleaving), and then call `setId()`. At this point the writer has been set up and initialized, and we can then write the pixel data, which we covered in the preceding sections. Finally we call `close()` to flush all data.

Note

Metadata store setting and writer option-setting methods may only be called before `setId()`. Writer state changing and querying methods such as `setSeries()` and `getSeries()`, and pixel data storage methods may only be called after `setId()`. If these constraints are violated, a `FormatException` will be thrown.

Note

`close()` should be called explicitly to catch any errors. While this will be called by the destructor, the destructor can’t throw exceptions and any errors will be silently ignored.

Full example source: `metadata-formatwriter.cpp`

See also

- FormatWriter
- TIFFWriter
- OMETIFFWriter

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