Digital Histology

Authors

John W. Bigbee, VCUFollow

Document Type

OER (Open Educational Resource)

Publication Date

2018

DOI

http://digitalhistology.org/

Description

Digital Histology is an interactive, online, openly licensed histology text and atlas that presents all the topics covered in professional, graduate and undergraduate histology courses. It offers many unique and distinctive features beyond statically-labeled atlases including:

1. On-demand, dynamic labeling.
2. Menu-driven navigation that reinforces broader concepts in histology.
3. Descriptive introductory text for each image as well additional descriptions for labeled structures.
4. Chapter and section overviews including over 75 original diagrams.
5. Over 1000 high quality, high resolution histological images.
6. Interactive quizzes with feedback.
7. An outline-style review text that contains hyperlinks to images in the main program.
8. Randomization of images, including hiding of labels for an additional self-assessment mode.
9. Ability to include hyperlinks to virtual microscopy slides.
10. Cross-platform compatibility across devices and screen sizes.

Learn more by watching this introductory video.

The full project team was:

• John Bigbee, Ph.D. and Alice S. Pakurar, Ph.D. (Coauthors)
• Kenneth Warren Foster, Ed.D. and Thomas W. Woodward, MS (Design Coordinators)
• Carole W. Christman, Ph.D. (Medical Illustrator)
• Department of Anatomy and Neurobiology
• Office of Faculty Affairs, VCU School of Medicine
• ALT Lab of VCU

The creation of Digital Histology was funded in part by the 2018 Affordable Course Content Awards program. For additional information about the program, please visit guides.library.vcu.edu/acca.

Date of Submission

September 2021

Abstract

Digital Histology is an interactive, online, openly licensed histology text and atlas that presents all the topics covered in professional, graduate and undergraduate histology courses. It is organized as a multi-hierarchy outline that reinforces broader histological concepts and parallels the content of most histology textbooks. Digital Histology, featuring on-demand labeling of structures and interactive quizzes with formative feedback, can be used by a diverse group of learners.

Rights

Digital Histology is licensed under a Attribution-Non-Commercial-Share Alike 4.0 Creative Commons License.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Is Part Of

VCU Open and Affordable Course Content