… including the combination of time-stretch instruments with artificial intelligence and machine
learning for data capture and classification are examined. Fundamentals of time stretch …

… We present a recently developed artificial-intelligence augmented microscope, which builds
upon high-throughput time stretch quantitative phase imaging (TS-QPI) and deep learning …

… computational demands of artificial intelligence, presenting … through a combination of
time-stretching and time-division … optical pulses by time-stretching and increases operational …

… To demonstrate the compatibility of this technique with time-stretch technology, we introduce
the time stretch microscope cell image dataset, which was collected using a time stretch …

… for signal acquisition with a real-time digitizer. To achieve the maximum time stretch and
highest signal to noise ratio (SNR), a Raman-pumped amplified time stretch [27–29] module …

… We describe the spectrotemporal operation of the warped time stretch with a set of examples.
Without loss of generality, we initially assume that any chirp in the input signal is negligible …

… Abstract The use of artificial intelligence (AI) in healthcare is one of the fastest growing
industries worldwide. AI is already used to deliver services as diverse as symptom checking, skin …

… The results in this paper apply to the continuous-time implementation of time stretch—the
most common realization. The discrete-time implementation of time stretch is less explored due …

… present an intelligent cell phenotyping framework for high-throughput optofluidic time-stretch …
of over 20,000 drug-treated and untreated cells with an optofluidic time-stretch microscope. …

… The proposed method is using a phase vocoder for time-stretching and an Artificial Neural
Network (ANN) for classification of five typical different emotions. As input for the ANN …