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Updated: Jul 11, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

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Published on: February 23, 2018

E2E-BPF microscope: extended depth-of-field microscopy using learning-based implementation of binary phase filter and

Baekcheon Seong¹, Woovin Kim¹, Younghun Kim¹

¹Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.

Light, Science & Applications

|November 12, 2023

Summary

This summary is machine-generated.

This study introduces the E2E-BPF microscope, a novel computational imaging platform. It achieves high-resolution, large-area imaging without refocusing, significantly extending the depth-of-field for biomedical applications.

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Area of Science:

Biomedical imaging
Optical microscopy
Computational imaging

Background:

High-resolution imaging is crucial for biomedical diagnoses.
Conventional microscopes face a trade-off between depth-of-field and spatial resolution, necessitating time-consuming refocusing.
Large-scale imaging requires extended depth-of-field capabilities.

Purpose of the Study:

To develop a computational imaging platform for large-area, high-resolution imaging without serial refocusing.
To overcome the depth-of-field limitation in conventional microscopy.
To enable rapid, image-based biomedical diagnoses.

Main Methods:

Developed a physics-incorporated, deep-learned binary phase filter (BPF).
Employed a jointly optimized deconvolution neural network.
Integrated BPF design with deconvolution for extended depth-of-field imaging.

Main Results:

Achieved high-resolution, high-contrast imaging over extended depth ranges.
Demonstrated a 15.5-fold larger depth-of-field compared to conventional microscopes.
Validated through numerical simulations and experiments with fluorescent beads, cells, and tissue sections.

Conclusions:

The E2E-BPF microscope offers a scalable strategy for depth-of-field-extended optical imaging.
This method enables large-area, high-resolution imaging without the need for refocusing.
Potential applications include rapid diagnosis, optical vision, and metrology.