What does deep learning mean for hologram reconstruction?

hologram imaging


By Naveen Joshi  |  June 10, 2018


It is quite impressive to see how deep learning reconstructs holograms to benefit various industries and their consumers.

What if your contacts pop out of your phone while you make a call? What if people who are not around us emerge from nowhere in our room? You might think that such things can only happen in a fictitious world, yet fortunately, we're in times where we have technology that helps us experience such events. Technology has already brought celebrities Frank Sinatra and Tupac Shakur back to life. And the technology behind this magic is holography.

Today, deep learning is not a new topic for most industries. The technology has offered various mind-boggling applications, including conversational chatbots, self-driving cars, search engines and so on. We are enjoying so many of these amazing deep learning applications in our day-to-day activities.

What will happen if researchers use deep learning and holography together? When deep learning reconstructs holograms, industries, like healthcare, recruitment, entertainment and retail will see tremendous advancements, benefiting everyone in a way never imagined.

Deep learning reconstructs hologram technology


deep learning reconstructs hologram

Holography technology will disrupt the retail industry. For instance, imagine you are at a store to buy a product. As soon as you enter the store a picture pops out which shows the map of the store. The map contains all the information regarding the product and its place in the store. Such an experience will surely blow your mind. With the help of deep learning, machines can understand what the preferences are of their frequent customers.

The second industry that can benefit from deep learning's reconstruction of holographic technology is the recruitment industry. Holograms can help recruiters interview candidates without calling them in to the office. With the help of deep learning, recruiters can collect information about candidates they are interviewing and get insights on which candidates will best suit the vacant position.

Deep learning reconstructs holograms for the healthcare industry as well. Here, the technology helps to identify anomalies in a patient's health data.

Ozcan, an HHMI Professor with the Howard Hughes Medical Institute, states:

 

"The results are broadly applicable to any phase recovery and holographic imaging problem, and this deep learning based framework opens up a myriad of opportunities to design fundamentally new coherent imaging systems, spanning different parts of the electromagnetic spectrum, including visible wavelengths as well as the X-ray regime.”

The future of hologram technology

The future of holographic technology is promising. Not only can the retail and healthcare industries leverage hologram technology, but gaming and entertainment, tourism and space, and research and development spaces can get immense benefits from it. For instance, the tourism industry can enhance its customer experience by offering live videos of people enjoying a trip. Such an application will also help other tourists plan their trips better. Furthermore, doctors with holographic technology can analyze the human anatomy much better.

No matter what industry type, deep learning will help them gain actionable insights based on data. The integration of deep learning and holographic technologies will offer path-breaking innovation in the near future.