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Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors
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 the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440383/ https://www.ncbi.nlm.nih.gov/pubmed/22984606 http://dx.doi.org/10.1371/journal.pone.0045044 |
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author | Isikman, Serhan O. Greenbaum, Alon Luo, Wei Coskun, Ahmet F. Ozcan, Aydogan |
author_facet | Isikman, Serhan O. Greenbaum, Alon Luo, Wei Coskun, Ahmet F. Ozcan, Aydogan |
author_sort | Isikman, Serhan O. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3440383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34403832012-09-14 Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors Isikman, Serhan O. Greenbaum, Alon Luo, Wei Coskun, Ahmet F. Ozcan, Aydogan PLoS One Research Article 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. Public Library of Science 2012-09-12 /pmc/articles/PMC3440383/ /pubmed/22984606 http://dx.doi.org/10.1371/journal.pone.0045044 Text en © 2012 Isikman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Isikman, Serhan O. Greenbaum, Alon Luo, Wei Coskun, Ahmet F. Ozcan, Aydogan Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title | Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title_full | Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title_fullStr | Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title_full_unstemmed | Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title_short | Giga-Pixel Lensfree Holographic Microscopy and Tomography Using Color Image Sensors |
title_sort | giga-pixel lensfree holographic microscopy and tomography using color image sensors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440383/ https://www.ncbi.nlm.nih.gov/pubmed/22984606 http://dx.doi.org/10.1371/journal.pone.0045044 |
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