Journal: Scientific Reports

Article Title: Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy

doi: 10.1038/srep01717

Figure Lengend Snippet: (a) Illustrates the block diagram of the computational methods that are used in creating a high-resolution image. In the hologram deconvolution step, either an experimental or a computational approach can be used to estimate the pixel function of the image sensor. (b) Shows two different pixel function obtained with different methods: the left pixel function is obtained with an experimental method for the 6.8 μm monochrome CCD image sensor; and the right pixel function is obtained with a computational methods for 1.12 μm color CMOS image sensor.

Article Snippet: Toward this end, we deconvolved the lensfree hologram of a known test object (e.g., 1951 USAF resolution test chart) using a blind deconvolution algorithm (built-in MATLAB routine: deconvblind ), which provides maximum likelihood estimation for both the pixel function and the unblurred image .

Techniques: Blocking Assay

Journal: Scientific Reports

Article Title: Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy

doi: 10.1038/srep01717

Figure Lengend Snippet: (a) Shows a cross section of the illumination spot (see inset) of the scanning microscope, which is used to probe the pixel function of the 6.8 μm CCD image sensor. (b) Shows the illumination spot (the bright spot on the upper right corner) over the CCD image sensor. To estimate the pixel function of the CCD chip, 54 different locations were probed, as marked by yellow hollow rectangles. (c) Shows the measured pixel function after spatial interpolation. (d) Shows the resulting pixel function after blind deconvolution.

Article Snippet: Toward this end, we deconvolved the lensfree hologram of a known test object (e.g., 1951 USAF resolution test chart) using a blind deconvolution algorithm (built-in MATLAB routine: deconvblind ), which provides maximum likelihood estimation for both the pixel function and the unblurred image .

Techniques: Microscopy

Journal: Scientific Reports

Article Title: Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy

doi: 10.1038/srep01717

Figure Lengend Snippet: (a) Shows the block diagram of our pixel function estimation steps using a computational method. (b) Shows the reconstructed images when an optimized pixel function is used in the hologram deconvolution step. Three representative objects are illustrated: horizontally and vertically oriented grating lines (top and middle), and a helical multi-walled carbon nanotube (bottom). The insets show the estimated pixel function of the 1.12 μm CMOS sensor chip.

Article Snippet: Toward this end, we deconvolved the lensfree hologram of a known test object (e.g., 1951 USAF resolution test chart) using a blind deconvolution algorithm (built-in MATLAB routine: deconvblind ), which provides maximum likelihood estimation for both the pixel function and the unblurred image .

Techniques: Blocking Assay

Journal: Scientific Reports

Article Title: Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy

doi: 10.1038/srep01717

Figure Lengend Snippet: (a) Shows a lensfree amplitude image, which was reconstructed from a single lensfree hologram without using pixel super-resolution. (b) Shows a lensfree amplitude image, which was reconstructed from a pixel super-resolved lensfree hologram without the deconvolution step. The horizontal lines of group 8 elements 1 and 2 were resolved, while the vertical lines were not resolved as indicated by the yellow cross sections in the image. (c) Shows a lensfree amplitude image, which was reconstructed from a pixel super-resolved hologram with the deconvolution step using the estimated pixel function (see ) before the final reconstruction step. The vertical lines in group 8 elements 1 and 2 are now resolved as indicated by the cross sections in the image, which corresponds to half pitch resolution of ~1.74 μm and an NA of ~0.14.

Article Snippet: Toward this end, we deconvolved the lensfree hologram of a known test object (e.g., 1951 USAF resolution test chart) using a blind deconvolution algorithm (built-in MATLAB routine: deconvblind ), which provides maximum likelihood estimation for both the pixel function and the unblurred image .

Techniques:

Journal: Scientific Reports

Article Title: Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy

doi: 10.1038/srep01717

Figure Lengend Snippet: (a) Shows lensfree images reconstructed from super-resolved holograms without deconvolution. (b) Shows lensfree images reconstructed from super-resolved and deconvolved holograms using the optimized pixel function shown in the inset of . (c) Top: a conventional optical microscope image (60× water immersion objective, NA = 1) of a grating with 225 nm line-width. Bottom: an SEM image of a helical carbon nanotube that is 160 nm in diameter. Note that in the SEM image, the carbon nanotube is coated with 20 nm metal coating (after lensfree imaging) and therefore the observed carbon nanotube diameter is thicker in SEM.

Article Snippet: Toward this end, we deconvolved the lensfree hologram of a known test object (e.g., 1951 USAF resolution test chart) using a blind deconvolution algorithm (built-in MATLAB routine: deconvblind ), which provides maximum likelihood estimation for both the pixel function and the unblurred image .

Techniques: Microscopy, Imaging