Lensfree color imaging on a nanostructured chip using compressive decoding

Bahar Khademhosseinieh, Gabriel Biener, Ikbal Sencan, Aydogan Ozcan

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We demonstrate subpixel level color imaging capability on a lensfree incoherent on-chip microscopy platform. By using a nanostructured substrate, the incoherent emission from the object plane is modulated to create a unique far-field diffraction pattern corresponding to each point at the object plane. These lensfree diffraction patterns are then sampled in the far-field using a color sensor-array, where the pixels have three different types of color filters at red, green, and blue (RGB) wavelengths. The recorded RGB diffraction patterns (for each point on the structured substrate) form a basis that can be used to rapidly reconstruct any arbitrary multicolor incoherent object distribution at subpixel resolution, using a compressive sampling algorithm. This lensfree computational imaging platform could be quite useful to create a compact fluorescent on-chip microscope that has color imaging capability.

Original languageEnglish
Article number211112
JournalApplied Physics Letters
Issue number21
StatePublished - Nov 22 2010


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