A method for measuring a composition of a biological sample is disclosed. A stimulated Raman scattering (SRS) image of the biological sample is received. The effect of light scattering in the received SRS image is computationally removed. An absolute concentration of total protein, total lipid, and/or water from the biological sample is determined.

A stimulated Raman scattering microscope device is configured to irradiates a sample with a first optical pulse at a first repetition frequency, to irradiate the sample with a second optical pulse of an optical frequency different from an optical frequency of the first optical pulse at a second repetition frequency, and to detect optical pulses of the first repetition frequency that are included in detected light from the sample irradiated with the first optical pulse and the second optical pulse, as a detected optical pulse train. The second optical pulse is generated by dispersing predetermined optical pulses that include lights of a plurality of optical frequencies, regulating to output optical pulses of a predetermined number of different optical frequencies out of the dispersed optical pulses at the second repetition frequency, and coupling the regulated optical pulses.

A microscopic imaging method for creating a microscopic sample image (1A) of a sample (1) comprises the steps of arranging the sample (1) on a sampling crystal (10); irradiating the sample (1) with excitation laser pulses (2, 3) and generating sample response pulses (4) with a sample response field as a result of an interaction of the excitation laser pulses (2, 3) with the sample (1); irradiating the sampling crystal (10) with probe laser pulses (5) being temporally synchronized with the excitation laser pulses (2, 3) and spatially overlapped with the sample response pulses (4) in the sampling crystal (10), wherein the probe laser pulses (5) have a shorter wavelength than the excitation laser pulses (2, 3); detecting the sample response field by electric-field sampling with the sampling crystal (10), using the sample response pulses (4) and the probe laser pulses (5); and calculating the sample image (1A) based on the detected sample response field, wherein the excitation laser pulses (2, 3) have a wavelength in a range from mid-infrared to visible light and the sample response pulses (4) are created by a coherent interaction process induced in the sample (1) and with a fixed phase relationship relative to the excitation laser pulses (2, 3), the sampling crystal (10) is a non-centrosymmetric crystal, the irradiating step is repeated at multiple sample points (1A), wherein at each sample point (1A) the irradiating steps are successively repeated with multiple temporal probe delays of the probe laser pulses (5) relative to the excitation laser pulses (2, 3), at each probe delay, a sum or difference frequency pulse (6) of a sample response pulse (4) and a probe laser pulse (5) is generated, and at each probe delay, a spectral interference pulse (7) is created by a spectral interference of the sum or difference frequency pulse (6) and the current probe laser pulse, the detecting step includes sensing a polarization state of the spectral interference pulse (7) by an ellipsometer device (40) at each probe delay, wherein the local sample response field at the sample point (1A) is derived from the polarization states sensed at all probe delays, and the sample image (1A) is calculated based on the sample response field detected at the sample points (1A). Furthermore, a microscopic imaging apparatus is described.

The present invention provides for a novel series of accessories for Raman and/or luminescence spectral acquisitions for many different applications and methods for making such accessories. The invention further provides sample holders that enhance sample handling ability and sample sensitivity, reduce fluorescence and Raman background, as well as sample size and consumption, and thereby improve resulting spectral analyses.

A method of transmitting at least one optical signal through an add-drop filter includes directing the at least one optical signal into a first tapered optical fiber of the add-drop filter. The add-drop filter includes an active resonator side-coupled between the first tapered optical fiber and a second tapered optical fiber, and the active resonator is doped with at least one rare earth ion. A tuned optical gain is produced by delivering a tuned amount of pump laser energy to the at least one rare earth ion at a sub-lasing level, the tuned optical gain configured to compensate an intrinsic loss of the active resonator.

A method for the determination of antibiotic susceptibility through stimulated Raman scattering microscopy is disclosed. The method utilizes a imaging apparatus adapted to collect a laser signal through a sample having a bacteria for imaging the metabolism of the sample. The sample can be manipulated with an antibiotic for imaging to determine the susceptibility of a bacteria to the provided antibiotic.

A method of identifying a viral compound, which includes modulating a narrow linewidth laser over a range of frequencies to provide a modulated optical signal that includes a single optical sideband, optically focusing the modulated optical signal with the single optical sideband at a viral sample to excite the viral sample and stimulate an emission of photons therefrom, and detecting amplification of the optical sideband emanating from the viral sample indicating an emission of photons at an acoustic resonance of the viral sample.

Systems and methods implement of high-speed delay scanning for spectroscopic SRS imaging characterized by scanning a first pulsed beam across a stepwise reflective surface (such as a stepwise mirror or a reflective blazed grating) in a Littrow configuration to generate near continuous temporal delays relative to a second pulsed beam. Systems and methods also implement deep learning techniques for image restoration of spectroscopic SRS images using a trained encoder-decoder convolution neural network (CNN) which in some embodiments may be designed as a spatial-spectral residual net (SS-ResNet) characterized by two parallel filters including a first convolution filter on the spatial domain and a second convolution filter on the spectral domain.

A system is presented for analyzing and interpreting histologic images. The system includes an imaging device and a diagnostic module. The imaging device captures an image of a tissue sample at an optical section of the tissue sample, where the tissue sample has a thickness larger than the optical section. The system may further include an image interpretation subsystem located remotely from the imaging device and configured to receive the images from the imaging device. The diagnostic module is configured to receive the images for the tissue sample from the imaging device and generates a diagnosis for the tissue sample by applying a machine learning algorithm to the images. The diagnostic module may be interface directly with the imaging device or located remotely at the image interpretation subsystem.

An a system and method for chaos transfer between multiple detuned signals in a resonator mediated by chaotic mechanical oscillation induced stochastic resonance where at least one signal is strong and where at least one signal is weak and where the strong and weak signal follow the same route, from periodic oscillations to quasi-periodic and finally to chaotic oscillations, as the strong signal power is increased.