PtyLab.m/py/jl: a cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography
| Autor: | Lars Loetgering, Mengqi Du, Dirk Boonzajer Flaes, Tomas Aidukas, Felix Wechsler, Daniel S. Penagos Molina, Max Rose, Antonios Pelekanidis, Wilhelm Eschen, Jürgen Hess, Thomas Wilhein, Rainer Heintzmann, Jan Rothhardt, Stefan Witte |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2023 |
| Předmět: |
Inverse problems
MATLAB Image and Video Processing (eess.IV) FOS: Physical sciences Electrical Engineering and Systems Science - Image and Video Processing Computational Physics (physics.comp-ph) Atomic and Molecular Physics and Optics FOS: Electrical engineering electronic engineering information engineering ddc:530 Open systems Physics - Computational Physics Physics - Optics Optics (physics.optics) Python |
| Zdroj: | Optics express 31(9), 13763 (2023). doi:10.1364/OE.485370 Loetgering, L, Du, M, Flaes, D B, Aidukas, T, Wechsler, F, Penagos Molina, D S, Rose, M, Pelekanidis, A, Eschen, W, Hess, J, Wilhein, T, Heintzmann, R, Rothhardt, J & Witte, S 2023, ' PtyLab.m/py/jl : a cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography ', Optics Express, vol. 31, no. 9, pp. 13763-13797 . https://doi.org/10.1364/OE.485370 |
| ISSN: | 1094-4087 |
| Popis: | Conventional (CP) and Fourier (FP) ptychography have emerged as versatile quantitative phase imaging techniques. While the main application cases for each technique are different, namely lens-less short wavelength imaging for CP and lens-based visible light imaging for FP, both methods share a common algorithmic ground. CP and FP have in part independently evolved to include experimentally robust forward models and inversion techniques. This separation has resulted in a plethora of algorithmic extensions, some of which have not crossed the boundary from one modality to the other. Here, we present an open source, cross-platform software, called PtyLab, enabling both CP and FP data analysis in a unified framework. With this framework, we aim to facilitate and accelerate cross-pollination between the two techniques. Moreover, the availability in Matlab, Python, and Julia will set a low barrier to enter each field. |
| Databáze: | OpenAIRE |
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