Bibliographic Details
Title: |
Giga-pixel lensfree holographic microscopy and tomography using color image sensors. |
Authors: |
Serhan O Isikman, Alon Greenbaum, Wei Luo, Ahmet F Coskun, Aydogan Ozcan |
Source: |
PLoS ONE, Vol 7, Iss 9, p e45044 (2012) |
Publisher Information: |
Public Library of Science (PLoS), 2012. |
Publication Year: |
2012 |
Collection: |
LCC:Medicine LCC:Science |
Subject Terms: |
Medicine, Science |
More Details: |
We report Giga-pixel lensfree holographic microscopy and tomography using color sensor-arrays such as CMOS imagers that exhibit Bayer color filter patterns. Without physically removing these color filters coated on the sensor chip, we synthesize pixel super-resolved lensfree holograms, which are then reconstructed to achieve ~350 nm lateral resolution, corresponding to a numerical aperture of ~0.8, across a field-of-view of ~20.5 mm(2). This constitutes a digital image with ~0.7 Billion effective pixels in both amplitude and phase channels (i.e., ~1.4 Giga-pixels total). Furthermore, by changing the illumination angle (e.g., ± 50°) and scanning a partially-coherent light source across two orthogonal axes, super-resolved images of the same specimen from different viewing angles are created, which are then digitally combined to synthesize tomographic images of the object. Using this dual-axis lensfree tomographic imager running on a color sensor-chip, we achieve a 3D spatial resolution of ~0.35 µm × 0.35 µm × ~2 µm, in x, y and z, respectively, creating an effective voxel size of ~0.03 µm(3) across a sample volume of ~5 mm(3), which is equivalent to >150 Billion voxels. We demonstrate the proof-of-concept of this lensfree optical tomographic microscopy platform on a color CMOS image sensor by creating tomograms of micro-particles as well as a wild-type C. elegans nematode. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
1932-6203 |
Relation: |
http://europepmc.org/articles/PMC3440383?pdf=render; https://doaj.org/toc/1932-6203 |
DOI: |
10.1371/journal.pone.0045044 |
Access URL: |
https://doaj.org/article/98d4d992de854dc3b1570cd8c3ad6431 |
Accession Number: |
edsdoj.98d4d992de854dc3b1570cd8c3ad6431 |
Database: |
Directory of Open Access Journals |