&lt;title&gt;High-speed CCD movie camera with random pixel selection for neurobiology research&lt;/title&gt;

Potter, Steve M.; A.Mart,; Pine, J.

doi:10.1117/12.273400

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…This evaluation method is widely used in the studies of CS-SDOCT [9,14,16]. A CCD camera with randomly addressable pixels [9,[34][35][36] can be used to practically implement random undersampling of spectral data in an SDOCT system.…”

Section: Resultsmentioning

confidence: 99%

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Huang

Kang

2013

Biomed. Opt. Express

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We propose a novel compressive sensing (CS) method on spectral domain optical coherence tomography (SDOCT). By replacing the widely used uniform discrete Fourier transform (UDFT) matrix with a new sensing matrix which is a modification of the non-uniform discrete Fourier transform (NUDFT) matrix, it is shown that undersampled non-linear wavenumber spectral data can be used directly in the CS reconstruction. Thus k-space grid filling and k-linear mask calibration which were proposed to obtain linear wavenumber sampling from the non-linear wavenumber interferometric spectra in previous studies of CS in SDOCT (CS-SDOCT) are no longer needed. The NUDFT matrix is modified to promote the sparsity of reconstructed A-scans by making them symmetric while preserving the value of the desired half. In addition, we show that dispersion compensation can be implemented by multiplying the frequency-dependent correcting phase directly to the real spectra, eliminating the need for constructing complex component of the real spectra. This enables the incorporation of dispersion compensation into the CS reconstruction by adding the correcting term to the modified NUDFT matrix. With this new sensing matrix, A-scan with dispersion compensation can be reconstructed from undersampled non-linear wavenumber spectral data by CS reconstruction. Experimental results show that proposed method can achieve high quality imaging with dispersion compensation.

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Section: Resultsmentioning

confidence: 99%

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Huang

Kang

2013

Biomed. Opt. Express

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“…The random undersampling of CS SD OCT spectral data can be realized by using a CCD camera with randomly addressable pixels, which has been developed for high speed imaging [ 20 , 21 ]. Here we use a standard CCD array with 2048 pixels to take spectral measurements.…”

Section: Resultsmentioning

confidence: 99%

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

Kang

2010

Opt. Express

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We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l 1 norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images.

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“…Many high-speed imaging applications in biological research concern the study of excitable, neural [4] and cardiac [5], cells. In these applications it is desirable to image cells at very high frame rates (>1 kfps) for extended periods; preferably indefinitely.…”

Section: Introductionmentioning

confidence: 99%

A Reconfigurable Real-Time Compressive-Sampling Camera for Biological Applications

Pitter

Russell

2011

PLoS ONE

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Many applications in biology, such as long-term functional imaging of neural and cardiac systems, require continuous high-speed imaging. This is typically not possible, however, using commercially available systems. The frame rate and the recording time of high-speed cameras are limited by the digitization rate and the capacity of on-camera memory. Further restrictions are often imposed by the limited bandwidth of the data link to the host computer. Even if the system bandwidth is not a limiting factor, continuous high-speed acquisition results in very large volumes of data that are difficult to handle, particularly when real-time analysis is required. In response to this issue many cameras allow a predetermined, rectangular region of interest (ROI) to be sampled, however this approach lacks flexibility and is blind to the image region outside of the ROI. We have addressed this problem by building a camera system using a randomly-addressable CMOS sensor. The camera has a low bandwidth, but is able to capture continuous high-speed images of an arbitrarily defined ROI, using most of the available bandwidth, while simultaneously acquiring low-speed, full frame images using the remaining bandwidth. In addition, the camera is able to use the full-frame information to recalculate the positions of targets and update the high-speed ROIs without interrupting acquisition. In this way the camera is capable of imaging moving targets at high-speed while simultaneously imaging the whole frame at a lower speed. We have used this camera system to monitor the heartbeat and blood cell flow of a water flea (Daphnia) at frame rates in excess of 1500 fps.

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<title>High-speed CCD movie camera with random pixel selection for neurobiology research</title>

Cited by 13 publications

References 14 publications

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

A Reconfigurable Real-Time Compressive-Sampling Camera for Biological Applications

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