An image processing apparatus including a display unit includes a processor and a memory storing instructions, when executed by the processor, causing the image processing apparatus to function as a detection unit that detects occurrence of a sheet jammed inside the image processing apparatus and a display control unit that displays a screen based on detection of the occurrence of the jammed sheet. The screen includes a first region for displaying work that a user carries out to remove jammed sheets from inside the image processing apparatus and a second region for displaying work that the user carries out after removing the jammed sheets from inside the image processing apparatus.

A two-dimensional (2D) spectroscopy system and a 2D spectroscopic analysis method are disclosed. The 2D spectroscopy system includes: a light transmission delayer configured for forming a plurality of first light pulses from first light pulse and causing a relative time delay therebetween; a response pulse wave generator configured for generating a plurality of response pulse waves responds and having a relative time delay, and for irradiating the plurality of response pulse waves on the sample; an optical readout pulse array generator configured for forming an optical readout pulse array by splitting the second light pulse into a plurality of regions having different time delays and spatially discriminated from one another; and a reader configured for reading out by overlapping the optical readout pulse array with a signal generated from the sample.

A two-dimensional (2D) spectroscopy system and a 2D spectroscopic analysis method are disclosed. The 2D spectroscopy system includes: a light transmission delayer configured for forming a plurality of first light pulses from first light pulse and causing a relative time delay therebetween; a response pulse wave generator configured for generating a plurality of response pulse waves responds and having a relative time delay, and for irradiating the plurality of response pulse waves on the sample; an optical readout pulse array generator configured for forming an optical readout pulse array by splitting the second light pulse into a plurality of regions having different time delays and spatially discriminated from one another; and a reader configured for reading out by overlapping the optical readout pulse array with a signal generated from the sample.

Optical imaging or spectroscopy described can use laminar optical tomography (LOT), diffuse correlation spectroscopy (DCS), or the like. An incident beam is scanned across a target. An orthogonal or oblique optical response can be obtained, such as concurrently at different distances from the incident beam. The optical response from multiple incident wavelengths can be concurrently obtained by dispersing the response wavelengths in a direction orthogonal to the response distances from the incident beam. Temporal correlation can be measured, from which flow and other parameters can be computed. An optical conduit can enable endoscopic or laparoscopic imaging or spectroscopy of internal target locations. An articulating arm can communicate the light for performing the LOT, DCS, or the like. The imaging can find use for skin cancer diagnosis, such as distinguishing lentigo maligna (LM) from lentigo maligna melanoma (LMM).

Optical imaging or spectroscopy described can use laminar optical tomography (LOT), diffuse correlation spectroscopy (DCS), or the like. An incident beam is scanned across a target. An orthogonal or oblique optical response can be obtained, such as concurrently at different distances from the incident beam. The optical response from multiple incident wavelengths can be concurrently obtained by dispersing the response wavelengths in a direction orthogonal to the response distances from the incident beam. Temporal correlation can be measured, from which flow and other parameters can be computed. An optical conduit can enable endoscopic or laparoscopic imaging or spectroscopy of internal target locations. An articulating arm can communicate the light for performing the LOT, DCS, or the like. The imaging can find use for skin cancer diagnosis, such as distinguishing lentigo maligna (LM) from lentigo maligna melanoma (LMM).

A method for correcting frequency offset in a dual comb spectroscopy system is provided. The method includes causing a first laser (L1) generator to transmit L1 pulses at a repetition rate of a first frequency and causing a second laser (L2) generator to transmit L2 pulses at a repetition rate of a second frequency. The method also includes interrogating a reference material using a combination of the L1 pulses and the L2 pulses and capturing reference cell pulses. The method further includes interrogating a material of interest using the L1 pulses and capturing material of interest pulses. The method includes determining a frequency jitter based on the captured reference cell pulses and the combination of the captured material of interest pulses and the L2 pulses.

A method for phase contrasting-correlation spectroscopy: converting an incident linearly polarized light into two polarized components (polarized divergent and convergent components, wherein the polarized divergent component is orthogonal to the polarized convergent component), focusing each of the polarized divergent component and the polarized convergent component into a focal plane, thereby producing two focus planes constituting a reference focus (RF) plane and a sample focus (SF) plane; placing a sample at the SF plane and ambient conditions of the sample at the RF plane, resulting in a phase shift between the two polarized components; reconstituting the two phase-shifted polarized components into a phase-shifted linearly polarized light; detecting the phase-shifted linearly polarized light; calculating phase and intensity of the sample from the phase-shifted linearly polarized light; establishing an autocorrelation of phase and intensity of the phase-shifted linearly polarized light; and generating correlograms of intensity and phase of the phase-shifted linearly polarized light.

A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

An electronic device is for identifying the plastic composition of an unknown plastic object. The electronic device may include a spectrometer configured to receive the unknown plastic object and generate a MIR reflectance spectra characteristic of the unknown plastic object, a memory configured to store a multi-spectral fingerprint library for plastic types, and a processor coupled to the spectrometer and the memory. The processor is configured to analyze in real-time the MIR reflectance spectra characteristic of the unknown plastic object, and identify the plastic composition based upon at least comparing the MIR reflectance spectra characteristic of the unknown plastic object to the multi-spectral fingerprint library. The processor may be configured to expand the fingerprint library upon initial baseline characterization.

An apparatus and method for monitoring a stability of a spectrum are provided. The apparatus for monitoring stability of a spectrum includes a spectroscope configured to measure a spectrum of a sample and a processor configured to calculate a similarity change index of the measured spectrum and to determine the stability of the measured spectrum by analyzing the calculated similarity change index.