Bringing together researchers and developers

APEER platform is aiming at accelerating research and development by connecting researchers and developers across the world, because the best ideas can come from anywhere.

You are a researcher

Mobilize the coding power of developers around the world to address your research problem.

Submit your challenge
You are a developer

Reveal your skills and develop solutions to real research problems.

See the challenges

We have got challenges for you

Check the details, download the data set and let the contact person know. We are starting with some challenges from the APEER team with more challenges to come in the future. You can also submit your challenge.

Organelle detection in high resolution HeLa cell images

Goal:

Detect individual organelles in the 3D image stack including.

    1. Nucleus
    2. Mitochondria
    3. Lysosome
    4. Lipid droplet
    5. Endoplasmic reticulum
    6. Ribosomes

    Nuclei detection and analysis

    Goal:

    Detect individual nuclei in each of the 96 images and report.

      1. Total nuclei per image
      2. Total nuclei in all images
      3. Morphology of each nucleus (diameter, perimeter, aspect ratio).

      Surface roughness of 3D interior regions

      Goal:

      Perform internal surface roughness measurement of a 3D dataset generated by a Versa X-ray microscopy (similar to computed tomography technique).
      In order to obtain 3D printed parts with desired properties and biocompatibility, it is important to have a method to measure surface roughness on the interior of the part.

        3D grain analysis

        Goal:

        Analyze grains in a 3D dataset generated by scanning a rock sample on a Versa X-ray microscope (similar to computed tomography technique).
        A grain can be multi-phase, so a single grain can have multiple densities (grey levels). And the fact that a high density member of the grain is exposed to the outside of the grain vs. being fully embedded is important.

          Fiber analysis

          Goal:

          Perform analysis of fibers on Scanning Electron Microscope (SEM) images.

          Advanced materials such as insulators, absorbent material, filters, etc. have unique properties due to their fibrous structure. These properties depend on the characteristics of each individual fiber, such as size or distribution. In order to improve the design of these materials, an analysis of fibers is essential. However, segmentation of fibers is very challenging at the moment. An automated workflow would allow the researcher to perform a quick analysis instead of a very laborious manual measurement.

            Battery material – segmentation & distribution

            Goal:

            Segment round ‘blobs’ in down-sampled images obtained on the world’s fastest scanning electron microscope (MultiSEM).
            Segment the blobs (shows on the next page) as separate individual blobs and report spatial distribution parameters such as density of blobs, size distribution, and position of each blob.

            Mitochondria detection in high resolution HeLa cell images

            Goal:

            Detect individual mitochondria in the 3D image stack and report 3D morphological parameters such as volume, shape, surface area, etc.

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