Specify what function to use when reducing data points which get downsampled to the same point:

Specify the downsampling rate to use, using None to specify no downsampling should be done in a dimension. Data will be downsampled so that the spacing of the downsampled data is greater than or equal to these specifications:

True indicates that loading bars should be shown during evaluation. Note that for very long computations, loading bars may have a small negative impact on performance:

Setting NoiseThreshold->Automatic is equivalent to using OtsuThreshold, which uses a threshold which clusters log-intensity values into noise and non-noise groups:

Setting NoiseThreshold->None disables replacing values close to zero by zero:

Specify a threshold for sparsification. Input data with a downsapmled Z-value (dependent variable, e.g intensity) smaller than this threshold will be treated as zero:

When raw data file is large, downsampling can be carried out on manifold in parallel:

Swap the X and Y dimensions in a data object containing 3D data as a list of {x,y,z} data points:

When raw data is large, use Streaming option to stream data during downsampling:

Set the Template option to use the resolved options from an existing downsampling analysis:

The number of parallel processing threads can be specified:

Developer error messages used only when downsampling jobs are run remotely on Manifold:

Show a warning and default to no downsampling if the provided downsampling rate is larger the span of data in that dimension:

Show a warning and default to no downsampling if the provided downsampling rate is smaller than the data spacing in that dimension:

Show an error and return $Failed if the requested field to downsample either cannot be downloaded:

Show a warning and strip units if the provided downsampling rate has incompatible units with the input data:

Show an error and return $Failed if the requested field to downsample was downloaded, but did not resolve to a list of data points:

Show and error and return $Failed if the downsampling function specification is not a list of length n-1, where n is the dimensionality of input data:

Show and error and return $Failed if the downsampling rate specification is not a list of length n-1, where n is the dimensionality of input data:

Show an error and return $Failed if the indices requested for reordering dimension are not consecutive indices in range (e.g. for 3 dimensional data, some permutation of {1,2,3}):

Show a warning if the input data object is large and the calculation is expected to take more than a few minutes:

The resolved input data must be evenly spaced in its first dimension. If it is not, additional pre-processing is required before downsampling can be performed:

AnalyzeDownsampling only suppors two- and three-dimensional data: