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NEWS & ANNOUNCEMENTS

FutureLab: Imaging Flow Cytometry

November 12, 2019

The technology combines the imaging of microscopy with the high speed and high photonic sensitivity of flow cytometry. Although this technology comes with decades of hardware experience, ongoing improvements in the algorithms really expand how scientists can apply IFC.

Research on Deep Cytometry Published in Scientific Reports

July 31, 2019,

Los Angeles

Our new paper titled "Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry" is published in Scientific Reports.

Deep Cytometry

February 2, 2019,

San Francisco

Invited Talk presented by Prof. Jalali at the Label-Free Biomedical Imaging and Sensing (LBIS) Conference at SPIE Photonics West 

Jalali-Lab Research on Deep Learning in Digital Engineering News

September 21, 2018

Mathworks® has recently featured our work on Deep Learning (DL) in Digital Engineering News.

PRESS COVERAGE

Article titled "Time Stretch Microscopy And Machine Learning: Powerful Tools For Cancer Diagnostics" featured on Diagnostics World News spotlights out research work on AI Time Stretch Microscope. link

Postdoctoral scholar Keisuke Goda (2007-2012) appointed Full Professor at University of Tokyo.

In February 2016, Jalali-Lab released its code for the Phase Stretch Transform (PST) on Github, the main open source software repository as well as on Matlab File Exchange. PST is the edge detection algorithm inspired by the physics of Photonic Time Stretch invented by Jalali-lab. The algorithm received extraordinary endorsements by the software and image processing community. 

Leaders in Pharmaceutical Business Intelligence (LPBI) Group publish an article titled "Microscope uses nanosecond-speed laser and deep learning to detect cancer cells more efficiently" highlighting our recent research work on AI Time Stretch Microscope. link

Mathworks has taken deep interest in our work on AI Time Stretch Microscope. A recent article on their blog has highlighted the use of MATLAB for physical modeling, image processing, and machine learning in our recent research work.

Jalali-Lab recent publication entitled "Deep Learning in Label-free Cell Classification" has been viewed more than 33,000 times in less than 5 months following its publication. link

NEWSROOM

Microscope uses artificial intelligence to find cancer cells more efficiently link

The Anamorphic Stretch Transform: Putting the Squeeze on 'Big Data' link pdf

Slow Motion at the Speed of Light link pdf

Method to Achieve High Accuracy Classification of Cancer Cells in Native Form link pdf

New data compression method reduces big-data bottleneck link link

'Warping' compresses big data link pdf

UCLA Researchers Build World's Fastest Camera to Screen for Cancer link pdf

First silicon laser pulses with life link pdf

Ultrafast Camera Could Detect Wandering Cancer Cells link pdf

JAWS Filter Generates Sawtooth link pdf

The Real Sea Monsters link pdf

Two Tools in One link pdf

GigOptix's 100G Modulator link pdf

World's fastest camera link pdf

Debut for world's fastest camera link pdf

New camera 1000 times faster than competitors link pdf

Researchers develop world's fastest bar code reader link pdf

Pure silicon laser debuts link pdf

World's first all-silicon laser link pdf

Californians build first silicon laser link pdf

Click here for a complete list of press coverages.

RESEARCH

Unlocking the Mysteries of Science

AUTOIMMUNE DISEASE PREVENTION

High-Throughput Optical Microscopy for Cancer Detection

RESEARCH

Unlocking the Mysteries of Science

Generation and Control of Optical Rogue Waves

 

CONTACT

Download printable directions here.

Location:
The JALALI-LAB @ UCLA is located at 420 Westwood Plaza,

Los Angeles, CA 90095 in Engineering IV, Rm. 63-128.

The lab phone number is (310) 206-4554.

Prof. Jalali's office is located down the hall from the lab in Rm. 68-109.

Driving Directions:
From I-405, exit Wilshire Blvd. Take Wilshire Blvd East. Turn left on Westwood Blvd. Arrive at 420 Westwood Plaza.

Parking:
Visitors are recommended to purchase an all-day parking pass at parking kiosk 9. Attendants at the parking kiosk will direct visitors to the appropriate parking structure.

Nearby Accommodation:

JALALI-LAB @ UCLA

Department of Electrical Engineering
University of California, Los Angeles
420 Westwood Plaza
Engineering IV, Rm 63-128
Los Angeles, CA 90095
Lab: (310) 206-4554

Bahram Jalali

Professor
68-109 Engineering IV
Office: (310) 825-9655
Fax: (310) 206-2239
email: jalali [ at ] ucla.ed
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