TY - JOUR
T1 - Lensfree color imaging on a nanostructured chip using compressive decoding
AU - Khademhosseinieh, Bahar
AU - Biener, Gabriel
AU - Sencan, Ikbal
AU - Ozcan, Aydogan
N1 - Funding Information:
The authors acknowledge the support of AFOSR (under Project No. 08NE255), NSF BISH program (under Award No. 0754880) and NIH (under Grant No. 1R21EB009222-01).
PY - 2010/11/22
Y1 - 2010/11/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649616337&partnerID=8YFLogxK
U2 - 10.1063/1.3521410
DO - 10.1063/1.3521410
M3 - Article
AN - SCOPUS:78649616337
SN - 0003-6951
VL - 97
JO - Applied Physics Letters
JF - Applied Physics Letters
IS - 21
M1 - 211112
ER -