The philosophy of SVCell is to incorporate innovative image based decision technologies within easy to use interfaces. This approach is changing the way microscopy image recognition is done; now scientists and technicians can create recipes working directly in the images in an intuitive fashion, and the recipes will work very well for each unique application. It is not necessary to write custom code or try to configure algorithm modules that may never work very well. We believe that there is no shortage of good image recognition technologies in the world, but what is critical is how you make the technologies available for scientists and technicians to use to get good results, quickly, and without a steep learning curve.
SVCell’s technical philosophy is to provide these novel capabilities via intuitive and traditional workflows in order to make the software easy to adopt, and to make it easy for non experts to become proficient in image recognition application development. The technology is behind the scenes, it is what makes things work.
SVCell was created by SVision LLC, an emerging leader in the application of learning technologies to practical imaging applications. SVision is an innovator with 30 issued and 18 pending U.S. patents in the field of image based decisions. SVision software is deployed in advanced semiconductor wafer inspection systems that can be taught for new applications without technical intervention. SVision staff have over 140 years of practical imaging solution experience, 152 technical publications, 82 issued U.S. patents, and a history of technical breakthroughs.
SVCell related technologies can be separated into six broad categories:
Recognition
Methods to accurately and automatically discern patterns in images and data
Learning
Methods for the adaptation of image processing and decision system operation to meet human expectations
Structure-guidance
Methods for image processing systems to utilities domain knowledge of pattern structure to improve processing results
Live Cell
Current NIH funded R&D directed towards next generation tracking and kinetic characterization of biological phenomena in microscopy movies
Speed
Methods that maximize the throughput of the every day PC for demanding imaging applications
Search
Methods for fast and robust pattern search and detection in broad applications
Patents
SVCell related SVision patents are shown in the following table.
| ID | Title |
|---|---|
| 6400849 | Image processing system with enhanced processing and memory management |
| 6404934 | High speed image processing apparatus using a cascade of elongated filters programmed in a computer |
| 6456741 | Structure-guided image measurement method |
| 6463175 | Structure-guided image processing and image feature enhancement |
| 6504959 | Image processing apparatus using a cascade of poly-point operations |
| 6507675 | Structure-guided automatic learning for image feature enhancement |
| 6640008 | Rotation and scale invariant pattern matching method |
| 6859550 | Robust method for image feature estimation |
| 6941288 | Online learning method in a decision system |
| 7031529 | Method for detection optimization in image-based decision systems |
| 7031948 | Regulation of hierarchic decisions in intelligent systems |
| 7096207 | Accelerated learning in machine vision using artificially implanted defects |
| 7110603 | Fast invariant matching using template decomposition and synthesis |
| 7133560 | Generating processing sequences for image-based decision systems |
| 7139764 | Dynamic learning and knowledge representation for data mining |
| 7142718 | Fast pattern searching |
| 7149357 | Fast invariant pattern search |
| 7203360 | Learnable object segmentation |
| 7293000 | Information integration method for decision regulation in hierarchic decision systems |
| 7263509 | Intelligent spatial reasoning |
| 7233931 | Feature regulation for hierarchical decision learning |