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Leica Microsystems, a designer, and manufacturer of opto-digital imaging solutions in the field of microscopy announced its acquisition of certain assets, including Aivia, from SVision LLC, a privately held company. Aivia is an AI-enabled innovative visualization, analysis, and interpretation software solution. It includes a wide range of machine learning and deep learning algorithms, 2D-to-5D image visualization functionalities, cloud-based model training modules, web applications, and the ability to process large (terabytes) data sets. Developed over two decades with in-house R&D and in close collaboration with leading scientists, the Aivia platform turns users into expert analysts by helping them gain meaningful insights from microscope imaging data.
Markus Lusser, President Leica Microsystems feel that the addition of Aivia is a significant step in their evolution to becoming a leader in insight generation and expanding their innovation portfolio of opto-digital solutions. He also said that AI-based image analysis and processing technologies allow users to extract additional information from samples and provide robust insights from an ever-increasing pool of raw images. This partnership will bring scientists and scientific service providers closer to finding the answers to some of the key questions of their time.
Left: Original data imaged using a SP8 confocal microscope with a 40x 1.3 NA objective lens and resonant scanner in line average mode; Right: Image restored using the 40x confocal AI deconvolution model from Aivia. Image: Aivia
James Lee, PhD, President, and founder of SVision LLC mentioned that Leica Microsystems is an ideal partner to help them further develop solutions that help their customers tackle challenging analysis and classification problems. The potential for the integration of AI into opto-digital platforms is immense.
In addition to acquiring the Aivia software suite, Leica Microsystems will take on SVision LLC’s associates who will continue to operate from their existing facilities in Bellevue, WA, USA, near Seattle. The financial terms of the transaction were not disclosed.