Non-contact photoacoustic tomography using holographic full field detection

Author(s):  
Jens Horstmann ◽  
Ralf Brinkmann
2010 ◽  
Vol 18 (6) ◽  
pp. 6288 ◽  
Author(s):  
Robert Nuster ◽  
Gerhard Zangerl ◽  
Markus Haltmeier ◽  
Günther Paltauf

2019 ◽  
Vol 9 (8) ◽  
pp. 1563 ◽  
Author(s):  
Gerhard Zangerl ◽  
Markus Haltmeier ◽  
Linh V. Nguyen ◽  
Robert Nuster

To accelerate photoacoustic data acquisition, in [R. Nuster, G. Zangerl, M. Haltmeier, G. Paltauf (2010). Full field detection in photoacoustic tomography. Optics express, 18(6), 6288–6299] a novel measurement and reconstruction approach has been proposed, where the measured data consist of projections of the full 3D acoustic pressure distribution at a certain time instant T. Existing reconstruction algorithms for this kind of setup assume a constant speed of sound. This assumption is not always met in practice and thus can lead to erroneous reconstructions. In this paper, we present a two-step reconstruction method for full field detection photoacoustic tomography that takes variable speed of sound into account. In the first step, by applying the inverse Radon transform, the pressure distribution at the measurement time is reconstructed point-wise from the projection data. In the second step, a final time wave inversion problem is solved where the initial pressure distribution is recovered from the known pressure distribution at time T. We derive an iterative solution approach for the final time wave inversion problem and compute the required adjoint operator. Moreover, as the main result of this paper, we derive its uniqueness and stability. Our numerical results demonstrate that the proposed reconstruction scheme is fast and stable, and that ignoring sound speed variations significantly degrades the reconstruction.


2013 ◽  
Vol 62 (22) ◽  
pp. 224204
Author(s):  
Ma Jun ◽  
Yuan Cao-Jin ◽  
Feng Shao-Tong ◽  
Nie Shou-Ping

2000 ◽  
Author(s):  
Amy E. Herr ◽  
James C. Mikkelsen ◽  
Juan G. Santiago ◽  
Thomas W. Kenny

Abstract Application of a full-field detection approach to a biological sample separation scheme known as capillary isoelectric focusing (cIEF) has yielded detailed spatial and temporal information about the transport processes associated with this technique, as well as the efficiency of this separation scheme. The full-field cIEF detection technique utilizes an illumination source such as blue light emitting diodes or a mercury arc lamp, microscope objectives, and a charged-coupled device (CCD) camera to image fluorescently labeled proteins and peptides. Interest in this approach arises from the ability to collect, in real time, information from the entire length of the separation channel. This full-field detection eliminates the need for flow mobilization and aids in the empirical analysis of the separation process. In an effort to optimize a miniaturized cIEF system, the full-field detection approach was used as a diagnostic to gauge the effect of varying the channel wall surface charge distribution.


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