In the Max Planck Institute of Biophysics cutting edge research is performed on neuronal organization in the mouse olfactory system. The researchers aim to describe the axonal wiring of olfactory sensory neurons in the living brain, using a combination of genetics approaches, in vivo imaging and behavioral studies on gene-targeted mouse strains.
"For analyzing our high content methods for profiling neuronal gene expression patterns in 3D we chose perClass Matlab Toolbox to aid in building sophisticated classifiers that find patterns unnoticeable to the human biologists. Marrying the latest in high throughput screening methods with custom analytical pipelines built with perClass Toolbox lets us ask questions previously outside grasp of molecular biologists." -- Dr. Bolek Zapiec
Prostate cancer detection
Advanced Medical Diagnostics (AMD) has brought to market a new generation of cancer-detection ultrasound technology, providing physicians with clinically-meaningful visualization of prostate cancer.
"We use perClass to train our tissue characterization algorithm, that is to train a classifier to detect abnormalities in ultrasound data taken in clinical setting. We work with huge data sets and dozens of features, and perClass is able to handle them without performance issues or glitches. The interactive visualization tools provided by perClass allow us to explore our feature space and understand how separation could be achieved. We work often with the k-NN classifier and we enjoy the wealth of options to configure the classifier and experiment with various implementations of the k-NN. On top of perClass we use the consultancy and training services provided by PR Sys Design. They are always delivered in the most professional way and allowing us to expand significantly our knowledge in pattern recognition as well as in the perClass library itself." -- Dror Nir, CEO
Animal behaviour detection
Noldus is a market leader in behavioral research, providing solutions to study both human and animal behavior. Noldus is leveraging perClass for development of robust detectors and classifiers.
"We use perClass to build classifiers for rat behavior detection. I especially enjoy the metadata functionality and the interactive visualization where you can view subsets based on the metadata. It gives me insight in the data, and tells me what is feasible. Therefore, it saves me the time I would otherwise spend on useless efforts to optimize what is beyond reach. Also, I find the documentation and support really good!" -- Elsbeth van Dam, R&D Noldus
Update Jan 2014: Pattern recognition algorithms, investigated during our joined project, are now part of the EthoVision XT software. Read more in this blog entry.
Automatic 3D particle shape classification
DebTech, a company within the DeBeers mining group, developed their R-Sputnik particle characterization system using perClass. The system captures silhouette images of particles and generates 3D models of the particles.
"Using perClass we have implemented a classifier that takes in various features extracted from these 3D particle models and classifies them into a number of shape categories that are of relevance to us. The system also allows us to take simultaneous reflectance image of each particle. Relevant data from these images is fed into another classifier that enables us to obtain a colour classification for each particle." -- Garry Morrison, DebTech
Automatic Baggage Handling
perClass helps Type22 to design robust classification algorithms and quickly embed them in their baggage handling solutions, minimizing the deployment time.
"With perClass we have been able to apply our classification algorithms to a variety of "real-life" baggage handling products. perClass development environment is easy-to-use, powerful and extensive. Deploying the created algorithms is simple and reliable." -- Jorick Naber, Type22 BV
Human Pose Recognition
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At Delft University of Technology Prof. Emile Hendriks and his PhD and master students Fei Fei and Javier have developed a human-computer interface based on body pose recognition. In live video stream, they detect body postures by matching human torso models. Pose classifiers, trained on model parameters in perClass, are then quickly exported for execution in a real-time posture recognition demo written in C++ and OpenCV.
"We have used perClass for design and evaluation of a real-time pose classifier. perClass is a very valuable and flexible tool and made our life much easier. Also the support was very good. I can recommend it to every pattern recognition system designer." -- Emile Hendriks, Associate professor, TU Delft.
- Feifei Huo, E.Hendriks, P.Paclik, A.H.J. Oomes, "Markerless Human Motion Capture and Pose Recognition", In Proc.Of WIAMIS 2009, slides
3D Heart Image Segmentation
Thomas Karavides, MSc student of Erasmus Medical Center in Rotterdam, The Netherlands, used perClass to optimize detectors for landmark points of 3D segmentation of heart. Thomas leveraged interactive perClass tools for ROC analysis to fine-tune his AdaBoost detectors according the specific performance requirements.
- Thomas Karavides, K. Y. Esther Leung, P.Paclik, Emile A. Hendriks, Database guided detection of anatomical landmark points in 3D images of the heart, in Proc.of Medical Imaging 2010, San Diego, California, USA