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zPIE: an autofocusing algorithm for ptychography.

Lars Loetgering, Mengqi Du, Kjeld S E Eikema

|April 3, 2020

Summary

This summary is machine-generated.

An autofocusing algorithm enhances ptychography imaging by optimizing specimen sharpness. This method accurately calibrates sample-detector distance and aids in determining slice separation for multislice ptychography, improving image resolution.

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Area of Science:

Microscopy
Optical Physics
Computational Imaging

Background:

Ptychography is a powerful lensless imaging technique.
Accurate sample-detector distance is crucial for high-resolution ptychographic reconstructions.
Multislice ptychography requires precise determination of slice separation.

Purpose of the Study:

To develop and validate an autofocusing algorithm for ptychography.
To improve the accuracy of sample-detector distance calibration.
To enable precise slice separation determination in multislice ptychography.

Main Methods:

Proposed an autofocusing algorithm optimizing a differential interference microscope sharpness metric.
Algorithm is based on the extended ptychographic iterative engine (ePIE).
Validated experimentally for both amplitude and phase modulating specimens.

Main Results:

The algorithm calibrates sample-detector distance with accuracy within the depth of field.
Demonstrated successful determination of slice separation in multislice ptychography.
Method is effective for specimens with non-axially overlapping isolated regions on each slice.

Conclusions:

The proposed autofocusing algorithm is effective for ptychography.
It enhances imaging accuracy and enables advanced applications like multislice ptychography.
This method offers a robust solution for critical parameter calibration in ptychographic microscopy.