Coded Ptychography for Lens Free High Resolution Imaging, Leuven

Coded Ptychography for Lens Free High Resolution Imaging

Master internship - Leuven Explore how smart optical encoding and algorithms can unlock a new generation of lens-free microscopes. Lens-free imaging has emerged as a promising alternative to traditional microscopy, offering compact hardware, large field-of-view, and substantial cost and form-factor reductions. In coded ptychography, a patterned layer positioned near the sensor introduces spatial modulation that allows high-resolution phase retrieval without the need for lenses.In this internship, you will develop and evaluate a

coded lens-free ptychographic imaging system . The focus will be on

investigating different coded surface concepts

and

exploring ptychographic reconstruction approaches

to achieve improved resolution, stability, and imaging speed. By the end of the internship, the student will gain experience in: Computational imaging&lens-free microscopy Optical system modelling and simulation Ptychographic phase retrieval Image reconstruction algorithms and optimization Experimental optical coded surfaces and data acquisition Working with imec hardware and Python-based reconstruction pipelines Required Skills Background in electrical engineering, optics/photonics, applied physics, or computer science.Experience in

Python . (Optional but beneficial) Knowledge of Fourier optics, inverse problems, or machine learning. Type of internship : Master internship Required educational background : Electrotechnics/Electrical Engineering, Physics, Computer Science The reference code for this position is

2026-INT-018 . Mention this reference code in your application. Applications should include the following information: resume motivation current study Description In coded ptychography, a patterned layer positioned near the sensor introduces spatial modulation that allows high-resolution phase retrieval without the need for lenses.Expected Learning Outcomes By the end of the internship, the student will gain experience in: Computational imaging&lens-free microscopy Optical system modelling and simulation Ptychographic phase retrieval Image reconstruction algorithms and optimization Experimental optical coded surfaces and data acquisition Working with imec hardware and Python-based reconstruction pipelines Required Skills Background in electrical engineering, optics/photonics, applied physics, or computer science.Experience in

Python . (Optional but beneficial) Knowledge of Fourier optics, inverse problems, or machine learning. Supervising scientist(s) : For further information or for application, please contact Zhenxiang Luo () and Ziduo Lin (). The reference code for this position is

2026-INT-018 . Mention this reference code in your application. Applications should include the following information: resume motivation current study Incomplete applications will not be considered.

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