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Using Beads as a Focus Fiduciary to Aid Software-Based Autofocus Accuracy in Microscopy.

Isabel Gibson1, Elizabeth Julie Osterlund1, Ray Truant1

  • 1Department of Biochemistry and Biomedical Science, McMaster University, Hamilton, ON, Canada.

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Summary

This study introduces microbeads as an inexpensive, label-free focus aid for long-term live cell imaging. This method effectively prevents focal drift and improves autofocus accuracy in brightfield microscopy.

Keywords:
AutofocusAutomated microscopyBrightfieldLive-cell imagingTime-lapse microscopy

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Area of Science:

  • Microscopy
  • Cell Biology
  • Biotechnology

Background:

  • Brightfield microscopy is valuable for live cell studies but suffers from low contrast, leading to autofocus issues like focal drift.
  • Long-term live cell imaging requires stable focus to observe dynamic cellular processes, such as stress responses.
  • Existing autofocus systems can fail with transparent samples, hindering extended experiments.

Purpose of the Study:

  • To develop and validate an inexpensive, label-free method to improve autofocus accuracy for long-term live cell imaging using brightfield microscopy.
  • To address technical challenges associated with focal drift and software autofocus failures in time-lapse microscopy.
  • To provide a practical solution for researchers studying dynamic cellular processes in transparent cells.

Main Methods:

  • Utilized microbeads as a focus aid in conjunction with a widefield inverted microscope and software-based autofocus.
  • Implemented a protocol requiring minimal additional sample preparation for live cell imaging.
  • Employed KNIME software to train a random forest model for binary image classification to validate the protocol.

Main Results:

  • Demonstrated successful prevention of focal drift during overnight time-lapse imaging using microbeads.
  • Showcased improved autofocus accuracy on relatively inexpensive microscopes without hardware modifications.
  • Validated the protocol's effectiveness for capturing focused, label-free images of transparent cells.

Conclusions:

  • Microbeads serve as an effective and economical focus aid for long-term, label-free live cell imaging in brightfield microscopy.
  • This protocol enhances the reliability of software autofocus systems, overcoming limitations with transparent samples.
  • The method offers a practical solution for troubleshooting autofocus issues in time-lapse microscopy experiments.