New Billion-pixel Microscope


Reading time ( words)

A new microscope capable of capturing nearly 17 billion pixels in a single image has been developed by Antony Orth PhD ’14, now of RMIT University in Melbourne, Australia, and Ethan Schonbrun of Harvard’s Rowland Institute. The microscope speeds up cellular imaging, making it easier to observe how cells respond to drug treatments. The research was published in the journal Optica.

The microscope uses thousands of microlenses — each about the width of a human hair — and a dispersive prism to capture thousands of images and spectra simultaneously.  The individual images are stitched together into one large mosaic, enabling the visualization of more than 13 resolvable colors in an extraordinarily large number of cells.  

To zoom in, view the image on GigaPan.

Share

Print


Suggested Items

Extending Field of View in Advanced Imaging Systems

08/12/2019 | DARPA
The military relies on advanced imaging systems for a number of critical capabilities and applications – from Intelligence, Surveillance, and Reconnaissance (ISR) and situational awareness to weapon sights. These powerful systems enable defense users to capture and analyze visual data, providing key insights both on and off the battlefield.

Inexpensive, Simple Fabrication Method Poised to Expand Microlens Applications

06/17/2019 | OSA
A growing number of applications, including smartphone cameras, depend on microlenses to boost performance. A newly developed technology, called laser catapulting, could make it much easier and less expensive to fabricate these miniaturized lenses with customized properties, such as shape or focusing power.

DARPA, Santa Continue HO HO HO-liday Team-Up

12/26/2017 | DARPA
DARPA’s High-speed Optimized Handling of Holiday Operations (HO HO HO) initiative is celebrating its fourth anniversary this year, and the Agency is proud to continue its tradition of sharing breakthrough technologies to help Santa Claus and his elves more quickly and efficiently complete their holiday duties.



Copyright © 2021 I-Connect007. All rights reserved.