A system for motility contrast imaging a biological target within tissue comprising a CCD array; an illumination source for generating an incoming beam; a first beam splitter for receiving the incoming beam and producing an object beam and a reference beam; a second beam splitter for illuminating a multitude of biological targets with the object beam and for directing backscattered object beams towards the CCD array; a computer-controlled delay stage for zero-path-matching the reference beam to the backscattered object beams; a reference beam that intersects the backscattered object beams at an angle to produce a series of interference fringes that modulate Fourier-domain information; and a computer for receiving a time series of Fourier-domain information. The interference fringes between the backscattered object beam and the reference beam are recorded by the CCD array and passed to the computer which constructs a digital hologram at successive times.

The invention relates to an interferometric method, in which the light scattered by an object is imaged onto an electronic camera, wherein a sample light component is assigned to scattering sites on a sectional face in the interior of the object. This sample light component can he separated from the contributions of the other sample light components by processing of the camera image and leads to a sectional image. A particular advantage of the invention lies in the fact that multiple parallel sectional faces can be exposed sequentially at predetermined intervals from each other in the interior of the object. Such a sequence of sectional images can be used to calculate a solid model of the object.

The invention is applicable in particular to the live retina and allows a three-dimensional retina scan within a few seconds with a cost-effective and, if necessary, hand-held device.

Application options are in the fields of ophthalmology and in biometry.

Motility contrast imaging (MCI) is a depth-resolved holographic technique to extract cellular and subcellular motion inside tissue. The holographic basis of the measurement technique makes it highly susceptible to mechanical motion. The motility contrast application, in particular, preferably includes increased mechanical stability because the signal is based on time-varying changes caused by cellular motion, not to be confused with mechanical motion of the system. The use of the resulting spectrogram response signatures, or fingerprint data, of known compounds is disclosed to screen new compounds for leads as to those having potentially beneficial mechanisms of action. The fingerprint data of known toxic compounds can be used to screen new compounds for toxicity.

A holography imaging system includes a first laser, a second laser, a transmitter optical system, a receiver optical system, and a detector array. The first laser has a constant frequency, and the second laser has a non-constant frequency. The transmitter optical system can illuminate a target simultaneously using portions of the first and second laser signals. The receiver optical system can focus a returned light onto the detector array. A first and second illumination point sources can direct portions of the first and second laser signals onto the detector array. The first and second illumination point sources are located in-plane with a pupil of the receiver optical system. The system can detect simultaneously holograms formed on the detector array based on the returned light and the portions of the first and second laser signals directed by the first and second illumination point sources.

A particulate matter detection device takes holographic images of flowing particulate matter concentrated by a virtual impactor, which selectively slows down and guides larger particles to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a CMOS image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse and triplicate holograms of the same particle are recorded at a single frame revealing different perspectives of each particle. A deep neural network classifies the particles based on the acquired holographic images. The device was tested using different types of pollen and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs 700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods.