Publications

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
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
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
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
In this work, a team observed the interplay between TFPI and FV in regulating hemostasis and vascular development during embryogenesis.
January 12, 2021
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
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
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
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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