Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automated DNA fragments recognition and sizing through AFM image processing.

Elisa Ficarra1, Luca Benini, Enrico Macii

  • 1Politecnico di Torino, DAUIN, Italy. elisa.ficarra@polito.it

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|December 29, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.

Genome medicine·2026
Same author

Heat stress-induced remodelling of lipid and microRNA networks in Brassica napus L. germinated pollen and pollen-derived small extracellular vesicles.

Journal of experimental botany·2026
Same author

Handling missing modalities in multimodal survival prediction for non-small cell lung cancer.

NPJ digital medicine·2026
Same author

Practical guidelines for multiple instance learning in computational pathology: how embedding choice impacts overall survival prediction.

Frontiers in bioinformatics·2026
Same author

PATHOS: Pathology attention framework for treatment response stratification in ovarian high-grade serous carcinomas following neoadjuvant chemotherapy on H&E images.

Journal of pathology informatics·2026
Same author

FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-Low Power Microcontroller.

IEEE transactions on bio-medical engineering·2026

This study introduces an automated algorithm for precise DNA fragment sizing and molecular profiling from atomic force microscope images, significantly reducing analysis time and enhancing accuracy for physical property investigations.

Area of Science:

  • Biophysics
  • Nanotechnology
  • Molecular Biology

Background:

  • DNA fragment sizing is crucial for understanding DNA physical properties.
  • Current manual and semi-automated methods are time-consuming.
  • Atomic Force Microscopy (AFM) offers high-resolution imaging of biomolecules.

Purpose of the Study:

  • To develop an automated algorithm for DNA fragment size determination from AFM images.
  • To enable molecular profile extraction for structural analysis.
  • To improve the efficiency and accuracy of DNA sizing.

Main Methods:

  • Algorithm development for automated image analysis.
  • Testing with computer-generated and real AFM images.
  • Validation across various pixel sizes, fragment sizes, and background noise levels.

Related Experiment Videos

Main Results:

  • High accuracy in length estimation for computer-generated images (0.34%-0.6% RMSE).
  • Accurate sizing of real DNA fragments from AFM images (2.3% standard deviation, 0.33% error).
  • Reduced processing time compared to manual methods.

Conclusions:

  • The automated algorithm provides a fast and accurate method for DNA fragment sizing and profiling.
  • This technique facilitates detailed structural analysis of DNA molecules.
  • The algorithm demonstrates robust performance across diverse imaging conditions.