We demonstrate how the resolution and imaging depth limitations of nonlinear optical microscopy can be overcome by modulating the spatial overlap between two-color pulses. We suppress out-of-focus signals, which limit the imaging depth, by a factor of 100, and enhance the lateral and axial resolution by factors of 1.6 and 1.4-1.8 respectively. Using spatial overlap modulation, we demonstrate ba...

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The ability to create architected materials that possess both high stiffness and toughness remains an elusive goal, since these properties are often mutually exclusive. Natural materials, such as bone, overcome such limitations by combining different toughening mechanisms across multiple length scales. Here, a new method for creating architected lattices composed of core-shell struts that are b...

Mailing address: Gabriel Antonio Stanisci Miguel • Rua Santa Madalena, 290/131 01322-020 São Paulo, SP Brazil E-mail: [email protected] Manuscript received November 13, 2006; revised manuscript received February 16, 2007; accepted March 13, 2007. We treated a 37-year old male patient with diagnosis of poor left ventricle compaction. The two-dimensional echocardiography demonstrated extensive...

3D printing is expected to revolutionize health care through uses in tissue and organ fabrication; creation of customized prosthetics, implants, and anatomical models; and pharmaceutical research regarding drug dosage forms, delivery, and discovery.

Multimaterial 3D printing using microfluidic printheads specifically designed for seamless switching between two visco-elastic materials "on-the-fly" during fabrication is demonstrated. This approach opens new avenues for the digital assembly of functional matter with controlled compositional and property gradients at the microscale.

3D printing is a relatively new, rapidly expanding method of manufacturing that found numerous applications in healthcare, automotive, aerospace and defense industries and in many other areas. In this review, applications in medicine that are revolutionizing the way surgeries are carried out, disrupting prosthesis and implant markets as well as dentistry will be presented. The relatively new fi...

A method for optimizing MR imaging pulse sequence parameters in a statistical framework is presented. Parameters are defined to be optimal when the resulting scalar images yield optimal image segmentations using Bayesian pixel classification. Thus, Bayes risk is used as the objective function to minimize. Approximations are made to give a tractable solution in a four-step procedure. A sample ca...