CytoAtlas vs Surgical Neuropathology

CytoAtlas provides a quick and handy cytopathology reference tool focusing on diagnostic criteria. Content: - Over 800 high-quality slide images from exfoliative and aspiration cytology - Over 120 diagnostic entities in Cytopathology categorized by different organ systems - Slide images, including direct smears, cell blocks, and liquid-based preparations - Key morphologic characteristics, including architecture, nuclear, and cytologic features - Reference to journal articles and ancillary studies, if relevant Features - Intuitive and distraction-free interface - Chapters can be navigated by scrolling up and down - Images can be opened by tapping and selecting a diagnostic entity - Multiple images can be navigated by swiping across - High-quality slide images with zoom and pan function - Key features can be accessed by tapping an icon at the bottom - CytoAtlas requires an active internet to view images CytoAtlas is a learning aid for physicians, medical students, and technologists interested in cytopathology. It also provides a quick reference resource for common cytologic diagnoses. Created by Cytopathologists, the current database has high-quality slide images with morphologic descriptions and highlighted key features in over 100 diagnostic entities. In this initial release, we have included the most common entities encountered in the practice of exfoliative and aspiration cytology, including normal and malignant.

Volume 3 in the Series: The Johns Hopkins Atlases of Pathology AUTHORS: Fausto J. Rodriguez and Charles G. Eberhart SERIES EDITORS: Toby C. Cornish, Norman J. Barker, and Ralph H. Hruban The Johns Hopkins Atlas of Surgical Neuropathology is the third teaching app in our series from the Johns Hopkins University Department of Pathology. This teaching tool was designed for medical students, residents, fellows, and practicing pathologists and is composed of several modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz and a flashcard module. The image atlas contains over 800 high resolution color images and MRIs with captions authored by a leading expert and covers 174 diagnostic entities. The teaching algorithm covers the diagnosis of diffuse gliomas and employs the updated 2016 WHO criteria for classification of tumors of the central nervous system. The role of molecular data in diagnosis is incorporated into the algorithm using a practical approach. We welcome your feedback, just e-mail Dr. Fausto Rodriguez (frodrig4@jhmi.edu) or Dr. Charles Eberhart (ceberha@jhmi.edu). If you find an error, please let us know so we can correct it.