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Publications

Digital Dermatopathology Implementation, Validation, and Cost Analysis in a Private Practice Setting

May 10, 2023
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Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer

In this work, a team conducts an investigation of the expression of the CREB1 gene in ovarian cancer by deeply excavating the gene information in multiple databases and the mechanism.
April 28, 2021
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The Pathologist: April 2021 “Picture Perfect Pathology”

Featured in April 2021’s edition of The Pathologist, various images scanned using a MoticEasyScan Pro were included in the “Picture Perfect Pathology,” editorial.
April 16, 2021
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Multi-Lens Arrays (MLA)-Assisted Photothermal Effects for Enhanced Fractional Cancer Treatment: Computational and Experimental Validations

In this work, a team conducts an investigation to experimentally demonstrate the therapeutic benefits of MLA-assisted fractional PTT on colorectal cancer, in comparison to flat fiber-based PTT.
April 8, 2021
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Motic Easy Scan Event Indoor Conference

The Future of Pathology is Digital

Published in Pathology – Research and Practice, this article evaluates the current state of digital pathology for clinical, research, and education use and looks forward to future challenges and developments.
February 15, 2021
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Tissue Factor Pathway Inhibitor is Required for Cerebrovascular Development in Mice

In this work, a team observed the interplay between TFPI and FV in regulating hemostasis and vascular development during embryogenesis.
January 12, 2021
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Validation of Telecytology for Rapid On-Site Evaluations at Cleveland Clinic

In this study, the team compared remote readouts done via the FS-Live system against on-record diagnoses for 120 previously diagnosed adequacy specimens.
December 9, 2020
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Evaluation of an Automated Microscope Using Machine Learning for the Detection of Malaria in Travelers Returned to the UK

In this work, a team evaluated EasyScan GO to determine if it could detect, quantitate, and identify malaria parasites present in Giemsa-stained blood lms with consistency and accuracy compared to trained microscopists.
November 23, 2020
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Multi-centric Field Evaluation Of A Digital Malaria Microscopy Device Based On Machine-Learning: EasyScan GO – A Preliminary Analysis

In this work, a team assessed the performance of the EasyScan Go, a microscopy device employing machine learning-based image analysis to detect malaria parasites.
November 23, 2020
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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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