UCLA Develops Nano-lens Microscope To Detect Objects At Nanoscale
Detecting objects at nano-scale has always been a tiresome task, but a team of researchers from UCLA's Henry Samueli School Of Engineering and Applied Sciences has created a nano-lens microscope that can allow the users to directly see the objects that are more than 1000 times smaller than the width of a human hair.
Currently electron microscopy is used to view nano-scale objects. But this method is bulky, require time for the preparation and analysis of samples, and have a limited filed of view. The new technique uses nano-scale lenses that stick to the object that need to be managed. Because of these tiny liquid lenses that self-assemble around microscopic objects, users can see nano-objects in a relatively inexpensive way. This method also allows for the processing of a high volume of samples.
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According to Aydogan Ozcan, the lead researcher of the team, this is a result of unique combination of surface chemistry and computational imaging. Though this method doesn't provide the high resolution as electron microscopy, it has a much wider field of view that can be helpful in finding nano-scale objects in samples that are sparsely populated.
via #-Link-Snipped-#
Currently electron microscopy is used to view nano-scale objects. But this method is bulky, require time for the preparation and analysis of samples, and have a limited filed of view. The new technique uses nano-scale lenses that stick to the object that need to be managed. Because of these tiny liquid lenses that self-assemble around microscopic objects, users can see nano-objects in a relatively inexpensive way. This method also allows for the processing of a high volume of samples.
 #-Link-Snipped-#
According to Aydogan Ozcan, the lead researcher of the team, this is a result of unique combination of surface chemistry and computational imaging. Though this method doesn't provide the high resolution as electron microscopy, it has a much wider field of view that can be helpful in finding nano-scale objects in samples that are sparsely populated.
via #-Link-Snipped-#
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