Explore the Latest in Quantitative Cell Biology with MBoC

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Molecular Biology of the Cell (MBoC), ASCB’s flagship journal, continues to lead the way in advancing the field of Quantitative Cell Biology—a rapidly growing area that combines experimental, computational, and theoretical approaches to better understand the complex inner workings of cells.

Since the launch of this focus area, MBoC has published more than 200 groundbreaking articles that redefine how we measure, model, and visualize cellular processes. This expanding collection reflects the journal’s commitment to showcasing research that bridges biology, physics, and data science to uncover new insights into cell behavior.—a rapidly growing area that combines experimental, computational, and theoretical approaches to better understand the complex inner workings of cells.

Recent highlights from the Quantitative Cell Biology collection include:

These studies illustrate the diverse methodologies and biological systems explored within the field—from computational modeling to high-resolution imaging and machine learning applications.

The Quantitative Cell Biology focus area is led by Jennifer Lippincott-Schwartz (Howard Hughes Medical Institute), Diane Lidke (University of New Mexico), Alex Mogilner (New York University), and Assaf Zaritsky (Ben-Gurion University of the Negev). Submissions are accepted on a rolling basis, providing authors with the opportunity to share their latest advances as soon as they’re ready.

Explore the full collection and learn how you can contribute your own work to this exciting and rapidly evolving field.

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Publish your research along with leading scientists  

MBoC welcomes the submissions of research Articles, Brief Reports, Reviews, and Methods and Resources papers. 

Submissions are welcomed in a variety of areas including:  

  • Quantitative imaging 
  • Superresolution imaging techniques and their applications 
  • Single-molecule biology 
  • Biophysical properties of cells and cell structures 
  • Computational and mathematical modeling 
  • Systems studies of cell signaling and complex physiological processes 
  • Innovative physical or computational approaches to cell biological problems 
  • Big data methods and applications   

About the Author:


This post was collaboratively written by several ASCB staff members.