Hyper-dimensional analysis for label-free high-throughput imaging flow cytometry

Chen, Claire; Mahjoubfar, Ata; Huang, Allen; Niazi, Kayvan; Rabizadeh, Shahrooz; Jalali, Bahram

doi:10.1364/cleo_at.2014.aw3l.2

Cited by 10 publications

(7 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time stretch imager captures up to one billion linescans per second [38], [39]. Such high throughput operation is ideal for identifying rare abnormal cells in blood [18]- [20]. Indeed the system was successful in detecting breast cancer cells in blood with less than one-in-a-million specificity error, roughly 100 times better than the standard blood analyzer.…”

Section: B Case Study: Big Data Predicament In Biological Cell Screeningmentioning

confidence: 99%

Tailoring Wideband Signals With a Photonic Hardware Accelerator

Jalali

Mahjoubfar

2015

Proc. IEEE

View full text Add to dashboard Cite

| Digital hardware accelerators are increasingly employed to speed up computation and reduce power dissipation, enabling real-time operation. Inspired by this paradigm, we propose the concept of the photonic hardware acceleratorVan analog optical processing engine that precedes optical-to-electrical conversion and alleviates the burden on subsequent electronics. We propose one specific class of photonic hardware accelerators designed to assist in acquisition, feature extraction, and storage of wideband waveforms.This fundamental unit reshapes, in real time, the spectrotemporal evolution of a wideband streaming signal based on signal's sparsity. Functioning as an information gearbox, the accelerator transforms the signal according to the nonuniform entropy of its spectrum. Nonlinear group delay dispersion modes are introduced as primitive building blocks for such transformations. Representing spectrotemporal basis functions, these modes and their corresponding time-stretch wavelets have distinct and useful properties that depend on their symmetry. We focus on polynomial basis functions, but also discuss their limitations and alternatives such as spline functions that offer more efficient representation of group delay spectra with localized features. They are used to synthesize complex warped spectrotemporal operations that are reconfigurable and can be implemented in both analog optical and digital (computational) domains. We show how these dispersion-based computational primitives reshape the wideband signal to enable nonuniform sampling, compression, and pattern recognition in real time. Additional applications including coding, signal classification, and enhancement of signal-to-noise ratio during ultrafast analog-to-digital conversion are discussed. Fig. 7. Various methods for realizing optical dispersion. (a) Dispersive optical fiber with internal Raman amplification. (b) chirped fiber Bragg grating (CFBG) used in conjunction with a circulator. (c) CMD. The CMD device offers field reconfigurability of phase and group delay dispersion through tuning of the launch angle of light into the multimode waveguide.

show abstract

Section: B Case Study: Big Data Predicament In Biological Cell Screeningmentioning

confidence: 99%

Tailoring Wideband Signals With a Photonic Hardware Accelerator

Jalali

Mahjoubfar

2015

Proc. IEEE

View full text Add to dashboard Cite

show abstract

“…High-throughput real-time instruments are needed to acquire large data sets and to detect and classify rare events. Examples include the time stretch camera [2][3][4][5][6][7][8][9][10][11][12]-a MHz-frame-rate bright-field imager, and the fluorescence imaging using radio frequency-tagged excitation (FIRE)-an ultra-high-frame-rate fluorescent camera for biological imaging [13]. The record throughputs of these instruments have enabled the discovery of optical rogue waves [14], the detection of cancer cells in blood with false positive rate of one cell in a million [15], and the highest performance analog-to-digital converter ever reported [16].…”

Section: Introductionmentioning

confidence: 99%

Optical Data Compression in Time Stretch Imaging

Mahjoubfar¹,

Chen²,

Jalali³

2017

Artificial Intelligence in Label-Free Microscopy

View full text Add to dashboard Cite

Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.

show abstract

“…It has led to the discovery of optical Rogue waves [1] and, when combined with electro-optic conversion, to record analog-to-digital conversion performance [3]. Combination of the telecommunication technique of wavelength division multiplexing (WDM) and the time-stretch technique [4], the time stretch camera known as STEAM [5][6][7][8][9][10][11] has demonstrated imaging of cells with record shutter speed and continuous throughput leading to detection of rare breast cancer cells in blood with one-in-a-million sensitivity [11][12][13][14][15]. A second data communication inspired technique called FIRE is a new approach to fluorescent imaging that is based on wireless communication techniques [16].…”

Section: Introductionmentioning

confidence: 99%