Requirements that have to be met in order for ML training and segmentation to run.

Homogeneous bitdepth

Bitdepth is the same for all training and subsequent segmentation images.

Homogeneous channel number

The number of channels is the same for all training and subsequent segmentation images. The alpha channel in png files is automatically removed and not used for training and segmentation.

Minimum image and dataset size

For training, the minimum image size is 128*128 pixel (recommended: 1024*1024 pixel) per plane and the minimum total number of pixels are 724*724 pixel.

Maximum image size

Currently, all data processing is done in memory, which limits the sizes of images that can be processed. The following are limits for a set of image parameters. The real limits for your application might differ depending on image sizes, dimensions, and properties.

  • Maximum processable 2D plane size for images without Time or Z dimension

Image format

Image size (pixels)

RGB 8 bit

16 000 x 16 000

Grayscale 16 bit

17 000 x 17 000
  • Maximum number of planes along the Time or Z dimension for the stack of images

Stack of RGB 8-bit images

Image size (pixels)

Number of planes

512 x 512

4000

1024 x 1024

3600

2646 x 2056

750

Stack of grayscale 16-bit images

Image size (pixels)

Number of planes

512 x 512

6000

1024 x 1024

5500

2464 x 2056

1100