Deep learning approach for Fourier ptychography microscopy
نویسندگان
چکیده
منابع مشابه
Low Rank Fourier Ptychography
In this paper, we introduce a principled algorithmic approach for Fourier ptychographic imaging of dynamic, time-varying targets. To the best of our knowledge, this setting has not been explicitly addressed in the ptychography literature. We argue that such a setting is very natural, and that our methods provide an important first step towards helping reduce the sample complexity (and hence acq...
متن کاملMotion-corrected Fourier ptychography.
Fourier ptychography (FP) is a recently proposed computational imaging technique for high space-bandwidth product imaging. In real setups such as endoscope and transmission electron microscope, the common sample motion largely degrades the FP reconstruction and limits its practicability. In this paper, we propose a novel FP reconstruction method to efficiently correct for unknown sample motion....
متن کاملDigital pathology with Fourier ptychography
Fourier ptychographic microscopy (FPM) is a recently introduced method of acquiring high-resolution, wide field of view (FOV) giga-pixel histology images. The FPM procedure first acquires a sequence of low-resolution images of a sample under variable-angle illumination. It then combines these images using a novel phase retrieval algorithm to improve the employed microscope's resolution beyond i...
متن کاملDiffraction tomography with Fourier ptychography.
This paper presents a technique to image the complex index of refraction of a sample across three dimensions. The only required hardware is a standard microscope and an array of LEDs. The method, termed Fourier ptychographic tomography (FPT), first captures a sequence of intensity-only images of a sample under angularly varying illumination. Then, using principles from ptychography and diffract...
متن کاملDeep Learning Microscopy
YAIR RIVENSON, ZOLTÁN GÖRÖCS, HARUN GÜNAYDIN, YIBO ZHANG, HONGDA WANG, AND AYDOGAN OZCAN* Electrical and Computer Engineering Department, University of California, Los Angeles, California 90095, USA Bioengineering Department, University of California, Los Angeles, California 90095, USA California NanoSystems Institute (CNSI), University of California, Los Angeles, California 90095, USA Departme...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optics Express
سال: 2018
ISSN: 1094-4087
DOI: 10.1364/oe.26.026470