Abstract

Lens-free on-chip imaging replaces traditional lenses with holographic reconstruction algorithms [1]. Basically, 3D images of specimens are reconstructed from their “shadows” providing considerably improved field-of-view and depth-of-field, thus enabling large sample volumes to be rapidly imaged, even at nanoscale [1-3]. These new computational microscopes routinely generate >1–2 billion pixels (giga-pixels), where even single viruses can be detected with a FOV that is >100 fold wider than other techniques [2]. At the heart of this leapfrog performance lie self-assembled liquid nano-lenses that are computationally imaged on a chip. These self-assembled nano-lenses are stable for >1 hour at room temperature, and are composed of a biocompatible buffer that prevents nano-particle aggregation while also acting as a spatial phase mask [2],[3]. The field-of-view of these computational microscopes is equal to the active-area of the sensor-array, easily reaching, for example, >20 mm2 or >10 cm2 by employing state-of-the-art CMOS or CCD imaging chips, respectively [1].

© 2015 IEEE

PDF Article
More Like This
Computational Imaging and Sensing for Bio-Photonics Applications

Aydogan Ozcan
STh1H.6 CLEO: Science and Innovations (CLEO_SI) 2014

High-throughput Imaging of Single Viruses using Self-assembled Nano-lenses and On-Chip Holography

Onur Mudanyali, Euan McLeod, Wei Luo, Alon Greenbaum, Ahmet F. Coskun, Yves Hennequin, Cedric P. Allier, and Aydogan Ozcan
AW1I.6 CLEO: Applications and Technology (CLEO_AT) 2013

Lensless Microscopy and Sensing on a Chip

Aydogan Ozcan
FWQ1 Frontiers in Optics (FiO) 2011

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription