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Ata Mahjoubfar

Researcher at University of California, Los Angeles

Publications -  60
Citations -  1569

Ata Mahjoubfar is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Deep learning & Feature extraction. The author has an hindex of 18, co-authored 58 publications receiving 1300 citations. Previous affiliations of Ata Mahjoubfar include University of Tehran & California NanoSystems Institute.

Papers
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Deep Learning in Label-free Cell Classification

TL;DR: This work integrates feature extraction and deep learning with high-throughput quantitative imaging enabled by photonic time stretch, achieving record high accuracy in label-free cell classification.
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Time stretch and its applications

TL;DR: In this paper, the fundamental principles and applications of this emerging field for continuous phase and amplitude characterization at extremely high repetition rates via time-stretch spectral interferometry are reviewed.
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Hybrid Dispersion Laser Scanner

TL;DR: A new type of laser scanner is presented that offers ∼1,000 times higher scan rates than conventional state-of-the-art scanners and is used to demonstrate unique and previously difficult toachieve capabilities in imaging, surface vibrometry, and flow cytometry at a record 2D raster scan rate of more than 100 kHz with 27,000 resolvable points.
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Label-free high-throughput cell screening in flow.

TL;DR: A label-free imaging-based flow cytometer that measures size and cell protein concentration simultaneously simultaneously either as a stand-alone instrument or as an add-on to conventional flow cytometers without the requirement of cell labeling is introduced.
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High-speed nanometer-resolved imaging vibrometer and velocimeter

TL;DR: In this article, a laser vibrometer that performs high-speed multidimensional imaging-based vibration and velocity measurements with nanometer-scale axial resolution without the need for beam scanning is presented.