Nikon Announces AI for Predictive Imaging, Image Segmentation and Processing

NIS.ai. Image courtesy of Nikon Instruments.

NIS.ai includes a suite of applications for predictive imaging, image segmentation and processing:

• Convert.ai:   Convert.ai learns related patterns present in two different imaging channels.  After training, Convert.ai can then predict the pattern in the second channel even when presented with only the first channel.  DAPI-based staining of nuclei is a common method for cell segmentation and counting.  Convert.ai can be trained to predict where the DAPI label would be based on unstained DIC or phase-contrast images.  This enables users to perform nuclei-based image analysis without ever having to stain samples with DAPI or acquire a fluorescent channel.
• Segment.ai:  Segment.ai enables complex structures to be easily identified and segmented.  Neurites in phase-contrast images are traditionally difficult to define by classic thresholding.  Segment.ai can be trained on a small subset of hand-traced neurites to automatically detect and segment neurites from thousands of untraced datasets.
• Enhance.ai:  Imaging dim fluorescent samples or applications that require low-level light exposure typically result in compromised image quality with poor signal-to-noise ratio.  Enhance.ai learns what a high signal-to-noise image looks like by comparing under-exposed and optimally-exposed images.  Enhance.ai can then restore details in under-exposed or dim fluorescent images, enabling researchers to gain more insights from their low-signal imaging applications.
• Denoise.ai:  Launched earlier this year, Denoise.ai removes shot noise from resonant confocal images and can be performed in real-time.  Applying Denoise.ai to resonant confocal imaging enables users to acquire confocal images at ultra-high speed without sacrificing image quality.

“The application of Deep Learning and AI to biomedical imaging is extremely powerful, and opening up unseen possibilities,” said Steve Ross, Ph.D., Director, Products & Marketing, Nikon Instruments Inc.  “With NIS.ai, researchers can easily apply deep learning to extract meaningful, unbiased data from large, complex datasets.”

To learn more about NIS.ai, visit: https://www.microscope.healthcare.nikon.com/nis-ai

About Nikon Instruments Inc.

Nikon Instruments Inc. is the US microscopy arm of Nikon Healthcare, a world leader in the development and manufacture of optical and digital imaging technology for biomedical applications.  Cutting-edge instruments include microscopes, digital imaging products and software.  For more information, visit www.microscope.healthcare.nikon.com.

Source: Nikon Instruments Inc.