Paper
14 July 2015 Wide-field lensfree imaging of tissue slides
Sophie Nhu An Morel, Antoine Delon, Pierre Blandin, Thomas Bordy, Olivier Cioni, Lionel Hervé, Catherine Fromentin, Jean-Marc Dinten, Cédric Allier
Author Affiliations +
Abstract
We developed a new imaging tool that can help pathologists in recording wide-field images of tissue slides. We present a simple cost-effective lens-free imaging method to record 2-4μm resolution wide-field (10 mm2 - 6 cm2) images of stained and unstained tissue slides. To our knowledge, our method is the first technique that enables fast (less than 5 minutes) wide-field lens-free imaging of such dense samples. Multiple holograms are recorded with different wavelength illumination, and a multispectral algorithm is used to retrieve both amplitude and phase. Our method can be used to retrieve images of stained tissue slides. For such absorbing object, the useful information is included in the modulus of the reconstructed complex field. Our method can also be applied to retrieve images of unstained tissue slides, where the useful information is in the retrieved phase. This technique is much cheaper and compact than a conventional microscope and could be made portable. Moreover, it enables wide field unstained tissue slides imaging, which could quickly provide useful information, for example on frozen section biopsies, when a rapid diagnosis is needed during surgery.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sophie Nhu An Morel, Antoine Delon, Pierre Blandin, Thomas Bordy, Olivier Cioni, Lionel Hervé, Catherine Fromentin, Jean-Marc Dinten, and Cédric Allier "Wide-field lensfree imaging of tissue slides", Proc. SPIE 9536, Advanced Microscopy Techniques IV; and Neurophotonics II, 95360K (14 July 2015); https://doi.org/10.1117/12.2183462
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Holograms

Microscopes

Sensors

Reconstruction algorithms

3D image reconstruction

Image retrieval

RELATED CONTENT


Back to Top