Gold nanomaterials hold great potential for biomedical applications. While this field is evolving rapidly, little attention has been paid to precise nanoparticle design and functionalization. Here, we show that when using proteins as targeting moieties, it is fundamental to immobilize them directionally to preserve their biological activity. Using fulllength leptin as a case study, we have developed two alternative conjugation strategies for protein immobilization based on either a site-selective or a nonselective derivatization approach. We show that only nanoparticles with leptin immobilized siteselectively fully retain the ability to interact with the cognate leptin receptor. These results demonstrate the importance of a specified molecular design when preparing nanoparticles labeled with proteins.
Light-sheet microscopes have become the tool of choice for volumetric imaging of large samples. Based on a wide-field acquisition scheme, they are capable of optical sectioning at diffraction-limited resolution and minimal overall photodamage. Unfortunately, traditional architectures are limited in speed because 3D images are collected by either sample translation or synchronized movement of both light-sheet and detection objective lens. A promising solution avoiding slow mechanical movements is to extend the depth-of-field of the microscope and moving only the light-sheet. However, this normally comes at the cost of losing light and contrast, compromising the signal-to-noise ratio of the images. Here, we propose an innovative technique devoted to restoring the quality of the images, while preserving the speed of extended depth-of-field microscopes. It is based on generating a stack of parallel light-sheets using a pair of orthogonal acousto-optic deflectors, enabling the simultaneous illumination of different sample planes. Given the extended depth-of-field, all such planes appear in focus and can be acquired in a superimposed single frame. By applying a single-step inversion algorithm, we can decode a stack of frames into a volumetric image whose signal-tonoise ratio and contrast are greatly enhanced. We provide a detailed theoretical framework of the method and demonstrate its feasibility with volumetric images of kidney cell spheroids.
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