Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy
By A. Greenbaum, Wei Luo, Ting-Wei Su, Z. Göröcs, L. Xue, S. Isikman, A. Coşkun, O. Mudanyali, Aydogan Ozcan. Nature Methods, 2012
518 citations recorded by the source corpus.
We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm2 or an NA of ∼0.1 across a FOV of ∼18 cm2, which corresponds to an image with more than 1.5 gigapixels. We also discuss the current challenges that these computational on-chip microscopes face, shedding light on their future directions and applications.
Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/5bbfd8dd4786ae50c3e65f9a04d23f93c755fa72
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
In Biomedical Engineering
In Media Technology
Citations in the corpus
- All-optical machine learning using diffractive deep neural networks (2018, unknown): “For example, integration of a D 2 NN with lensfree on-chip imaging ( 26 - 28 ) or detection systems could provide extreme parallelism within a compact and field-portable chip-scale system with a neural network detection field-of-view of e.g., >18 cm 2 that can be routinely achieved using…”
- PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning (2018, background): “1 otherwise x x x x > = (5) At the output of each block, the number of channels is 2-fold increased (except for the first block that increases from 1 input channel to 64 channels).”
- Computer-assisted sperm analysis (CASA): capabilities and potential developments. (2014, methodology): “An ingenious approach is use of a piezoelectric device to move a phasecontrast objective up and/or down the optical axis of an inverted microscope at 30 or 70 Hz (like turning the focus knob), enabling a high-speed detector to capture a ‘stack’ of sharp images each representing a shallow slice of th”