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Biomedical subjects

Marwa J Zohdy

Publications and source records attributed to Marwa J Zohdy.

5 recordsLinked to original sources

Acoustic estimation of thermal distribution in the vicinity of femtosecond laser-induced optical breakdown.

Laser-induced optical breakdown (LIOB), or photo-disruption, can generate individual microbubbles in tissues for biomedical applications. We have previously developed a co-localized high-frequency ultrasound system to detect and characterize these laser-induced microbubbles. Because ultrasound speed varies with temperature, this system can also be used to directly estimate thermal effects in the vicinity of photodisruption. In this study, individual bubbles (sizes 60-100 microm) were created at the bottom of a water tank using a 793-nm, 100-fs Ti:Sapphire laser pulsed at 250 kHz. During and after breakdown, pulse-echoes from the tank bottom in the region surrounding a bubble were recorded with a single-element 85-MHz ultrasonic transducer, and temperature-dependent pulse-echo displacements were calculated using phase-sensitive correlation tracking. These displacements were then fit to a finite-element heat transfer model to estimate the effective thermal distribution. Estimates were calculated for laser exposure times ranging from 6.25 to 312.5 ms (1600 to 78 000 laser pulses), at 1.5 and 4 J/cm2 fluences. Results suggest a minimal temperature increase (<1 degrees C) within 100 microm of a bubble created with <1600 laser pulses at 1.5 J/cm2 fluence. This implies that LIOB can be controlled to be thermally noninvasive in the bubble vicinity.

Acoustics↗

Optical and acoustic detection of laser-generated microbubbles in single cells.

Acoustically monitored laser-induced optical breakdown (LIOB) has potential as an important tool to diagnose and treat living cells. Laser-induced intracellular microbubbles are readily detectable using high-frequency ultrasound, and LIOB can be controlled to operate within two distinct regimes. In the nondestructive regime, a single, short-lived bubble can be generated within a cell, without affecting its immediate viability. In the destructive regime, the induced photodisruption quickly can kill a targeted cell. To generate and monitor this range of bioeffects in real time, we have developed a system integrating an ultrafast laser source with optical and acoustic microscopy. Experiments were performed on monolayers of Chinese hamster ovary (CHO) cells. A 793 nm, 100 fs laser pulsed at 3.8 kHz was tightly focused within each cell to produce the photodisruption, and a 50 MHz ultrasonic transducer monitored the resultant bubble via continuous pulse-echo recordings. Photodisruption was also observed using bright field microscopy, and cell viability was assessed following laser exposure with a trypan blue assay. By controlling laser pulse fluence and exposure duration, either nondestructive or destructive LIOB could be produced. The intracellular position of the laser focus was also varied to demonstrate that cell viability was affected by the specific location of material breakdown.

Acoustics↗

Acoustic detection of controlled laser-induced microbubble creation in gelatin.

A high-frequency (85 MHz) acoustic technique is used to identify system parameters for controlled laser-induced microbubble creation inside tissue-mimicking, gelatin phantoms. Microbubbles are generated at the focus of an ultrafast 793-nm laser source and simultaneously monitored through ultrasonic pulse-echo recordings. Displayed in wavefield form, these recordings illustrate microbubble creation, and integrated backscatter plots provide specifics about microbubble characteristics and dissolution behavior. By varying laser parameters, including pulse fluence (or pulse energy flux, J/cm2), total number of pulses delivered, and the period between pulses, the size, lifetime, and dissolution dynamics of laser-induced microbubbles may be independently controlled. Pulse fluence is the main size-controlling parameter, whereas both increases in pulse fluence and pulse number can lengthen microbubble lifetime from tens to hundreds of milliseconds. In short, a microbubble of particular lifetime does not necessarily have to be of a particular size. Microbubble behavior, furthermore, is independent of pulse periods below a fluence-dependent threshold value, but it exhibits stochastic behavior if pulse repetition is too slow. These results demonstrate that laser pulse fluence, number, and period may be varied to deposit energy in a specific temporal manner, creating and stabilizing microbubbles with particular characteristics and, therefore, potential uses in sensitive acoustic detection and manipulation schemes.

Acoustics↗

Trapping cavitation bubbles with a self-focused laser beam.

We observed that laser-induced cavitation bubbles in water can be trapped in a self-focused laser beam. Both optical imaging and acoustic detection have been utilized to confirm bubble trapping. Transverse and longitudinal trapping forces were measured to be as large as 87 and 11 pN, respectively. This result is contrary to conventional wisdom, since the mechanism of trapping in conventional optical tweezers implies that a low-index particle (a bubble being the limiting case) should be antitrapped.

Equipment Design↗

Lateral speckle tracking using synthetic lateral phase.

In traditional speckle tracking, lateral displacement (perpendicular to the beam direction) estimates are much less accurate than axial ones (along the beam direction). The accuracy of lateral tracking is very important whenever spatial derivatives of both axial and lateral displacements are required to give a full description of a two-dimensional (2-D) strain field. A number of methods have been proposed to improve lateral tracking by increasing the sampling rate in the lateral direction. We propose an alternate method using synthetic lateral phase (SLP). The algorithm, a direct analog of the phase zero-crossing approach used in axial displacement estimation, synthesizes the lateral phase first, then performs a zero-crossing detection on this synthetic phase to obtain lateral displacement estimates. The SLP is available by simply eliminating either the positive or negative half of the lateral spectrum of the original analytic signal. No new data need to be acquired for this procedure. This new algorithm was tested on both simulations and measurements from a cardiac phantom model. Results show that the method greatly improves the accuracy of lateral tracking, especially for low strain cases (< or =1%). The standard deviation of the estimation error of the lateral normal strain obtained with this approach has an approximate factor of 2-3 improvement for low strain cases. The conceptual and computational simplicity of this new method makes it a practical approach to improve lateral tracking for elasticity imaging.

Algorithms↗