Frequently Asked Questions

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Why ariadne?

ariadne was founded to catalyze manual image annotation, in particular neuron reconstruction efforts in the neuroscience community, by outsourcing image annotation tasks to full-time professionals. For most image annotation tasks in biology, 20–40 hours of training are necessary to become familiar with the task, software, and data. Large-scale image annotation pipelines that rely on students or volunteers usually suffer from a high turnover of workers, low individual throughput, and low or mediocre annotation quality, due to workers’ lack of long-term experience. Consequently, these pipelines involve a significant training and management overhead. ariadne minimizes overhead costs and maximizes annotation quality and throughput by maintaining a group of highly trained full-time annotators.

Who is taking care of my data at ariadne?

A team of expert project managers, all holding master’s degrees in life sciences, work together with experienced machine-learning engineers to solve your biomedical analysis problem. Our image annotators have many years of experience and are directly supervised by the project managers to ensure the highest quality possible.

How much does it cost to have ariadne analyze my images?

The pricing of our high-throughput annotation service depends on the image quality, number of datasets and dataset size, and on the complexity and difficulty of the annotation task. We have many years’ experience in developing new image processing workflows that can be tailored to your analysis problems. The processing costs per Megavoxel typically drop significantly as the number of datasets and the dataset size increase.

I have a project in mind that is not listed in your examples. Can you still help me?

Of course! Many of our workflows are easily adaptable to new segmentation targets and we love to tackle difficult biomedical image analysis problems. Please use our contact form to get in touch.

Automated Image Analysis

Can you provide an example of a typical image analysis workflow?

One of our services is end-to-end automated segmentation, including post-segmentation proofreading. First, we generate manual ground truth from scratch or use domain adaptation to create a powerful neural network model for segmentation. We then use an efficient iterative ground truth generation scheme to target the remaining low-quality regions. Finally, we polish the results with a manual proofreading step if necessary. Depending on the needs of our customers, we provide statistical analysis, quality scoring, 3D-reconstructions and videos of the data and deliver the results in a format that makes it easy for the client to pursue further research.

What kind of structures can I segment with ariadne?

In addition to the segmentation of cells and their processes (e.g. neurites or filopodia), our team is experienced in analyzing various subcellular structures and organelles. Our capacities include workflows for both light microscopy and electron microscopy datasets.

What kinds of species / model systems does ariadne have experience in?

We have extensive experience with a broad range of model organisms and tissues, ranging from cultured cells over muscle cells and stem-cell derived organoids, to the brain tissue of rodents and zebrafish.