New PDF release: Artificial Intelligence in Label-free Microscopy. Biological

By Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali

ISBN-10: 3319514482

ISBN-13: 9783319514482

This publication introduces time-stretch quantitative section imaging (TS-QPI), a high-throughput label-free imaging stream cytometer constructed for giant info acquisition and research in phenotypic screening. TS-QPI is ready to trap quantitative optical part and depth photos concurrently, allowing high-content cellphone research, melanoma diagnostics, customized genomics, and drug improvement. The authors additionally display a whole computer studying pipeline that plays optical section dimension, photo processing, characteristic extraction, and class, allowing high-throughput quantitative imaging that achieves list excessive accuracy in label -free mobile phenotypic screening and opens up a brand new route to data-driven diagnosis.

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Additional info for Artificial Intelligence in Label-free Microscopy. Biological Cell Classification by Time Stretch

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3 m/s. The rainbow pulses pass through the cells and are reflected back by the mirror substrate of the microfluidic device. 3%. Therefore, the color-dependency of absorption is very small and can be easily neglected. The reflected pulses from the microfluidic device and reference mirror interfere at the beam splitter and return to the fiber, where they are directed with the optical circulator to an amplified time stretch system. The amplified time stretch system is a combination of a Raman amplifier and a dispersive fiber to perform dispersive Fourier transform [9].

We see that identification of cells is more specific using both of these parameters simultaneously, instead of each individually. Images of OTII (Fig. 4a) and SW480 (Fig. 4b) cells taken by Coherent STEAM setup demonstrate that the cells are spherical in the microfluidic channel. In Fig. 4c, scattering plot of cell protein concentration (refractive index difference) versus diameter is shown for these cells. Using points in a normal range of protein concentration and sliding the detection Fig. 4 Cell classification based on size and protein concentration measurement by CoherentSTEAM; images of (a) SW480 and (b) OTII cells taken by Coherent STEAM setup show that they are spherical.

We show that adding protein concentration to size as an additional classification parameter increases accuracy and specificity in flow cytometry. 128 MHz and a pulse width slightly less than 100 fs (Fig. 1). Pulses are spectrally broadened with a highly nonlinear fiber to approximately 100 nm bandwidth [91]. 2 ns, so an erbium doped fiber amplifier (EDFA) can amplify them without any distortion. Amplified pulses enter a coarse wavelength division multiplexing (WDM) filter, and the output of 1591 nm channel is used to shape laser pulses with a considerably flat spectrum over 1581– 1601 nm bandwidth.

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Artificial Intelligence in Label-free Microscopy. Biological Cell Classification by Time Stretch by Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali

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