Loetgering, LarsLarsLoetgeringDu, MengqiMengqiDuBoonzajer Flaes, DirkDirkBoonzajer FlaesAidukas, TomasTomasAidukasWechsler, FelixFelixWechslerPenagos Molina, Daniel SantiagoDaniel SantiagoPenagos MolinaRose, MaxMaxRosePelekanidis, AntoniosAntoniosPelekanidisEschen, WilhelmWilhelmEschenHess, JürgenJürgenHessWilhein, ThomasThomasWilheinHeintzmann, RainerRainerHeintzmannRothhardt, JanJanRothhardtWitte, StefanStefanWitte2023-05-242023-05-242023https://publica.fraunhofer.de/handle/publica/44211510.1364/OE.485370Conventional (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, 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.enInverse problemsMATLABOpen systemsPythonjournal article