MICHAEL KELLMAN

Updated 305 days ago
  • ID: 46282170/19
Using communication theory and detection theory, we create a Barker-coded high-throughput microfluidic channel. We jointly design the channel's system response and cell detection heuristic to efficiently resolve coincidence events by way of an inverse problem formulation... Computational imaging systems marry the design of hardware and image reconstruction. For example, in optical microscopy, tomographic, super-resolution, and phase imaging systems can be constructed from simple hardware modifications to a commercial microscope and computational reconstruction. Traditionally, we require a large number of measurements to recover the above quantities; however, for live cell imaging applications, we are limited in the number of measurements we can acquire due to motion. Naturally, we want to know what are the best measurements to acquire. In this post, we highlight our latest work that learns the experiment design for a non-linear computational imaging system... We present a novel data-..
Also known as: kellman
  • 0
  • 0
Interest Score
1
HIT Score
0.00
Domain
kellman.github.io

Actual
kellman.github.io

IP
185.199.108.153, 185.199.109.153, 185.199.110.153, 185.199.111.153

Status
OK

Category
Company
0 comments Add a comment