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Publications

In VivA Deep Learning-Based System (Microscan) for the Identification of Pollen Development Stages and Its Application to Obtaining Doubled Haploid Lines in Eggplant

In this work, a team in Spain, developed Microscan, a deep learning-based system for the detection and recognition of the stages of pollen development. Check out the role of our MoticEasyScan in the study here.
November 10, 2020
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In Vivo Remodeling of a 3D-Bioprinted Tissue Engineered Heart Valve Scaffold

To evaluate the recellularization potential of a bioprinted aortic heart valve scaffold printed with highly concentrated Type I collagen hydrogel (Lifeink® 200) and MSCs. Check out the role our MoticEasyScan in this study here.
August 26, 2020
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A Novel Transplantable Model of Lung Cancer-Associated Tissue Loss and Disrupted Muscle Regeneration

Cancer-associated muscle wasting (CAW), a symptom of cancer cachexia, is associated with approximately 20% of lung cancer deaths and remains poorly characterized on a mechanistic level. Read more about how MoticEasyScan contributed to this case study here.
August 26, 2020
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Evaluation of the VETSCAN IMAGYST: an In-Clinic Canine and Feline Fecal Parasite Detection System Integrated with a Deep Learning Algorithm

Fecal examination is an important component of routine companion animal wellness exams. Read more about how MoticEasyScan contributed to this case study here.
July 30, 2020
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Implementing the DICOM Standard for Digital Pathology

The MoticEasyScan Pro 6 was one of four scanning systems used to generate slide images in this study to assess the limitations and capabilities of using the Digital Imaging and Communications in Medicine (DICOM) standard format file for healthcare networks.
May 7, 2019
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Telepathology Consultation for Frozen Section Diagnosis in China

This paper reports the results of a two and a half year validation study on telepathology implementation in China for primary diagnosis. MoticEasyScan machines were used to scan frozen section and routine histology slides for 5,233 cases.
May 7, 2019
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