Transforming images into information

Our vision is to offer customized stand-alone analysis to every microscopy user from cell biologists to petroleum engineers turning pictures into information in one click


What we do

We are involved in the entire cycle from experiment design to measurement to analysis and interpretation. Pick and choose which components make the most sense for your needs.

We provide expertise in both static and dynamic X-ray imaging experiments on a wide variety of samples ranging from mouse bones to brain vasculature. We can help you design experiments, choose imaging modalities, scale up to large number of samples, and interpret the results in order to gain high quality, actionable information from imaging studies.
For existing studies, we provide the sample measurement as a service. We have years of experience working with X-ray tomography and can get the best performance from the instrumentation for 1 or 10,000 samples. We have priority access to the world-class imaging beamline, TOMCAT at the Swiss Light Source and can schedule experiments within weeks of the initial request. The versatility of the beamline enables high-resolution scans of incredibly high quality to performed in minutes and under the right circumstances rapidly evolving microstructures can be imaged fully in 3D more than 10 times per second.
We have powerful, scalable in-house developed software for processing and extracting quantitative information in a streamlined fashion for even very large data sets. The software is automatically tested and verified to ensure the highest level of reliability for the results. We have the latest infrastructure available for storing and interactively analyzing thousands of samples with millions of microstructures. With our network analysis tools we can even investigate complicated networks of cells or pores with 10s of millions of connections.
We always deliver as a final product a detailed report distilling a series of complicated analyses into clear, legible figures and tables with thorough explanations of every step taken so the results can be reliably, automatically reproduced.

Our Products


Leveraging the large existing communities built around ImageJ and FIJI, Cloud Image Processing (CIP) lets you scale up these tools from one machine to hundreds in a distributed, fault-tolerant manner. Whether with powerful workstations, high-performance clusters, or cloud-based machines, our framework can handle your problem and make analysis and configuration easy using any device with our web-based tools. Contact us to request a trial version or Skype demo


With over 6 years experience in the large-scale image processing area we have experience with a large number of problems and techniques. Our experience ranges from biology to material science , from earth science and food engineering. Specifically we can help at any step of the analysis from experimental design to making sense of the results. Just contact us at contact@4quant.com


Image analysis is a diverse, complex field rife with caveats and constantly changing. We offer a number of training solutions ranging from theory and basic principals to specific tools and applications. These can be further personalized to match your exact needs and competences. Furthermore much of our material is available for free online through the course we developed at the Swiss Federal Institute of Technology entitled "Quantitative Big Imaging"

Our Technology

We have developed a range of image processing tools, called Spark Imaging Layer, on top of the latest Big Data framework, Apache Spark™. Spark provides a scalable, fault-tolerant, distributed backend for robustly handling large (giga-, tera-, and petabyte) datasets. Additionally we have cloud computing integration built-in meaning you can have a cluster in the cloud up and running in minutes, not days.

Apache Spark

Spark is currently the world record holder for the fastest, open-source sorting of a petabyte of data. It is one of the most active Apache projects with over 50 companies and 255 contributers and has even surpassed standard data processing frameworks such as NumPy, matplotlib, and SciKit-Learn.

Amazon Ec2

Our software is intrinsically distributed and compatible with many cluster and cloud-based solutions to enable on-demand processing of large datasets without large infrastructure investements. For storing the data, we have out of the box support for local, Hadoop HDFS, and Amazon S3™ allowing for scalable, fault-tolerant storage of large datasets without the bottlenecks or hassle of storing everything on external hard drives. Finally our interactive web-based interfaces make running and controlling complex image processing tasks on a cloud or cluster easy with any modern web browser.

Example Projects

We have worked on a number of projects in different fields varying from food research to bone microstructure. Below are a few selected projects which illustrate some of the capabilities we have.

4Quant Microstructure of cortical mouse bone

For bone microstructure we have developed workflows for automatically aligning and measuring cortical bone samples [1]. Futhermore we can perform detailed structural analysis of cortical and trabecular bone. We can even examine the shape, distribution, and alignment of osteocyte lacunae and blood vessels to assess the cellular level affect of genes, treatments, and disease models [2]. An example of how easy the analysis can be using our Spark Image Layer Database Engine is shown in this worksheet.


4Quant has given presentations at a number of conferences and workshops in areas from genetics to material science, machine learning, and big data. Selected presentations are available online

Reflective Buildings and Forested Region Quantification for quantifying regions, areas, and shapes in satellite images

Counting Cars Demo for counting and identifying the number of white cars in satellite images

Interactive Scientific Image Analysis and Analytics using Spark at the Spark East 2015 in New York City, NY

Scaling Up: Image Processing and Analytics using Spark at the Big Data Satellite Workshop at the X-Ray Microscopy Conference in Melbourne, Australia

High-throughput, Scalable, Quantitative, Cellular Phenotyping using X-Ray Tomographic Microscopy at International Work-Conference on Bioinformatics and Biomedical Engineering 2014 in Granada, Spain

Spark for High-throughput, Scalable, Quantitative Analysis of Genome-Scale Datasets at the Zurich Machine Learning Meetup in Zurich, Switzerland

Scaling Up Fast: Real-time Image Processing and Analytics using Spark at the Spark Summit 2014 in San Francisco, CA

An Introduction to Apache Spark at IBM Data Connect in Zurich, Switzerland

About Us

4Quant will be a Spin-off of the ETH Zurich and the Paul Scherrer Institut based on the PhD Thesis of Kevin Mader done in the X-Ray Microscopy Laboratory of Marco Stampanoni. We are funded by the Pioneer Fellowship of the ETH Zurich and a member of the ETH Innovation and Entrepreneurship Lab. Additionally, we are partnered with SLS Techno Trans AG which provides confidential, proprietary access to the beamline, instrumentation, and personnel resources of the Swiss Light Source.

Contact Information

We are located inside the Paul Scherrer Institut in Villigen, Switzerland and the ieLab at ETH Hönggerberg. We can be reached by email at contact@4quant.com