Label-free high-throughput cell screening in flow

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

doi:10.1364/boe.4.001618

Cited by 90 publications

(56 citation statements)

References 27 publications

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“…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

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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.

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Section: Introductionmentioning

confidence: 99%

Optical Data Compression in Time Stretch Imaging

Mahjoubfar¹,

Chen²,

Jalali³

2017

Artificial Intelligence in Label-Free Microscopy

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“…Hence, CTCs in the blood have become a marker of indicating metastasis, cancer recurrence [1,2]. Flow cytometry (FC) based on the detection of fluorescence of dyelabeled biological samples is known as a well-established technique for cell counting and sorting in vitro [3,4], and it has been developed to in vivo monitor CTCs with highthroughput screening of large blood volumes [4][5][6]. However, the applications of in vivo FC are restricted by strong autofluorescence background, high light scattering, as well as undesirable efficiency in labeling targeted cells with fluorescent-dye.…”

Section: Introductionmentioning

confidence: 99%

In vivo cell characteristic extraction and identification by photoacoustic flow cytography

He¹,

Dong²,

Qin³

et al. 2015

Biomed. Opt. Express

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We present a photoacoustic flow cytography with fast crosssectional (B-scan) imaging to precisely identify specific cells in vivo. The B-scan imaging speed of the system is up to 200 frame/s with a lateral resolution of 1.5 μm, which allows to dynamically image the flowing cells within the microvascular. The shape, size and photoacoustic intensity of the target cells are extracted from streaming images and integrated into a standard pattern to distinguish cell types. Circulating red blood cells and melanoma cells in blood vessels are simultaneously identified on melanoma-bearing mouse model. The results demonstrate that in vivo photoacoustic flow cytography can provide cells characteristics analysis and cell type's visual identification, which will be applied for noninvasively monitoring circulating tumor cells (CTCs) and analyzing hematologic diseases.

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“…Both intensity and phase stabilities of 1.0-μm BLISS are studied with real-time techniques. To showcase its potential utility in the phase-sensitive imaging, we apply it to the emerging interferometric time-stretch (iTS) microscope [32,33]. Single-shot interferometric imaging of biological specimen is obtained with a spatial resolution of 1.2 μm at a frame rate of 28 MHz.…”

Section: Introductionmentioning

confidence: 99%

28 MHz swept source at 10 μm for ultrafast quantitative phase imaging

Wei¹,

Lau²,

Xu³

et al. 2015

Biomed. Opt. Express

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Emerging high-throughput optical imaging modalities, in particular those providing phase information, necessitate a demanding speed regime (e.g. megahertz sweep rate) for those conventional swept sources; while an effective solution is yet to be demonstrated. We demonstrate a stable breathing laser as inertia-free swept source (BLISS) operating at a wavelength sweep rate of 28 MHz, particularly for the ultrafast interferometric imaging modality at 1.0 μm. Leveraging a tunable dispersion compensation element inside the laser cavity, the wavelength sweep range of BLISS can be tuned from ~10 nm to ~63 nm. It exhibits a good intensity stability, which is quantified by the ratio of standard deviation to the mean of the pulse intensity, i.e. 1.6%. Its excellent wavelength repeatability, <0.05% per sweep, enables the single-shot imaging at an ultrafast line-scan rate without averaging. To showcase its potential applications, it is applied to the ultrafast (28-MHz line-scan rate) interferometric time-stretch (iTS) microscope to provide quantitative morphological information on a biological specimen at a lateral resolution of 1.2 μm. This fiber-based inertia-free swept source is demonstrated to be robust and broadband, and can be applied to other established imaging modalities, such as optical coherence tomography (OCT), of which an axial resolution better than 12 μm can be achieved. Y. Wong, and K. K. Tsia, "Interferometric time-stretch microscopy for ultrafast quantitative cellular and tissue imaging at 1 μm," J.

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Label-free high-throughput cell screening in flow

Cited by 90 publications

References 27 publications

Optical Data Compression in Time Stretch Imaging

Optical Data Compression in Time Stretch Imaging

In vivo cell characteristic extraction and identification by photoacoustic flow cytography

28 MHz swept source at 10 μm for ultrafast quantitative phase imaging

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