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Found 8 papers, 0 papers with code
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow
Here we model the Fourier ptychographic forward imaging process using a convolution neural network (CNN) and recover the complex object information in the network training process.
Rapid focus map surveying for whole slide imaging with continues sample motion
For each focus point on the map, sample needs to be static in the x-y plane and axial scanning is needed to maximize the contrast.
Axially-shifted pattern illumination for macroscale turbidity suppression and virtual volumetric confocal imaging without axial scanning
In the reported approach, we project illumination patterns at a tilted angle with respect to the detection optics.
Blind deblurring for microscopic pathology images using deep learning networks
Artificial Intelligence (AI)-powered pathology is a revolutionary step in the world of digital pathology and shows great promise to increase both diagnosis accuracy and efficiency.
Complex-domain super-resolution imaging with distributed optimization
Complex-domain imaging has emerged as a valuable technique for investigating weak-scattered samples.
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor
We show that a whole slide image of a blood smear with a 120-mm^2 field of view can be acquired in 18 seconds.
Digital staining in optical microscopy using deep learning -- a review
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.
Sparsity-regularized coded ptychography for robust and efficient lensless microscopy on a chip
In ptychographic imaging, the trade-off between the number of acquisitions and the resultant imaging quality presents a complex optimization problem.
