MICS Lab
  • Home
  • Research
  • Chip Gallery
  • Publications
  • People
  • Courses
  • News
  • MICS Social
  • Menu Menu

Warning: Undefined array key 0 in /home/caltech/www/www/wp-content/themes/enfold-child/functions.php on line 37

Warning: Attempt to read property "slug" on null in /home/caltech/www/www/wp-content/themes/enfold-child/functions.php on line 37

Warning: Undefined array key 0 in /home/caltech/www/www/wp-content/themes/enfold-child/functions.php on line 38

Warning: Attempt to read property "slug" on null in /home/caltech/www/www/wp-content/themes/enfold-child/functions.php on line 38
3D Surgical Alignment with 100µm Resolution Using Magnetic-Field Gradient-Based Localization

3D Surgical Alignment with 100µm Resolution Using Magnetic-Field Gradient-Based Localization

Share this entry
  • Share on Facebook
  • Share on X
  • Share on Pinterest
  • Share on LinkedIn
  • Share on Tumblr
  • Share on Vk
  • Share on Reddit
  • Share by Mail
/wp-content/uploads/2017/10/mics-logo-grey-100.png 0 0 Arian Hashemi /wp-content/uploads/2017/10/mics-logo-grey-100.png Arian Hashemi2019-12-09 17:59:362024-01-12 20:54:063D Surgical Alignment with 100µm Resolution Using Magnetic-Field Gradient-Based Localization
Search Search
MICS Caltech

Contact

California Institute of Technology
M/C 136-93
1200 East California Boulevard
Pasadena, California 91125
CaltechMICS@gmail.com
Our lab is in the third floor of Moore Laboratory.

Lab Member Login
Academic Calendar

Maps

  • Campus Map
  • Parking Map
  • Caltech Interactive Map
Caltech Aerial View
© Copyright - Mixed-mode Integrated Circuits and Systems Lab (MICS). Site: Academic Web Pages
Link to: Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces Link to: Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based... Link to: A Fully-Integrated Biofuel-Cell-Based Energy Harvester with 86% Peak Efficiency and 0.25V Minimum Input Voltage Using Source-Adaptive MPPT Link to: A Fully-Integrated Biofuel-Cell-Based Energy Harvester with 86% Peak Efficiency and 0.25V Minimum Input Voltage Using Source-Adaptive MPPT A Fully-Integrated Biofuel-Cell-Based Energy Harvester with 86% Peak Efficiency...
Scroll to top Scroll to top Scroll to top