Provided herein are techniques for label free cell sorting. The systems and methods provided herein may use machine learning based image classification techniques to identify cells of interest within a sample of cells. The cells of interest may then be separated from the sample using mechanical, pneumatic, piezoelectric, and/or electronic devices.

A method for analyzing microorganisms arranged in a sample is provided, the sample including a viability marker to modify an optical property of the microorganisms in different ways depending on whether they are dead or alive, the method including illumination of the sample and acquisition of an image of the latter by an image sensor, the image sensor then being exposed to an exposure light wave; determining positions of different microorganisms from the acquired image; applying a propagation operator to calculate at least one characteristic value of the exposure light wave at each radial position and at a plurality of distances from the detection plane representing a change in the characteristic value between the image sensor and the sample; and identifying living microorganisms according to each profile.

A method for observing a sample (10), the sample lying in a plane of the sample defining radial coordinates, the method comprising the following steps: a) illuminating the sample using a light source (11), able to emit an incident light wave (12) that propagates toward the sample along a propagation axis (Z); b) acquiring, using an image sensor (16), an image (I.sub.0) of the sample (10), said image being formed in a detection plane (P.sub.0), the sample being placed between the light source (11) and the image sensor (16), such that the incident light wave sees an optical path difference, parallel to the propagation axis (Z), by passing through the sample; c) processing the image acquired by the image sensor;
wherein the processing of the acquired image comprises taking into account vectors of parameters, respectively defined at a plurality of radial coordinates, in the plane of the sample, each vector of parameters being associated with one radial coordinate, and comprising a term representative of an optical parameter of the sample, at least one optical parameter being an optical path difference induced by the sample at the radial coordinate, the vectors of parameters describing the sample.

An in-line holographic microscope can be used to analyze on a frame-by-frame basis a video stream to track individual colloidal particles' three-dimensional motions. The system and method can provide real time nanometer resolution, and simultaneously measure particle sizes and refractive indexes. Through a combination of applying a combination of Lorenz-Mie analysis with selected hardware and software methods, this analysis can be carried out in near real time. An efficient particle identification methodology automates initial position estimation with sufficient accuracy to enable unattended holographic tracking and characterization.

Embodiments described herein relate to a large area lens-free imaging device. One example is a lens-free device for imaging one or more objects. The lens-free device includes a light source positioned for illuminating at least one object. The lens-free device also includes a detector positioned for recording interference patterns of the illuminated at least one object. The light source includes a plurality of light emitters that are positioned and configured to create a controlled light wavefront for performing lens-free imaging.

A particle detection system may include a light source, a first beam splitter, a particle interrogation zone, a reflecting surface, a second beam splitter, a first photodetector, and a second photodetector. The first beam splitter may be configured to split the source beam into an interrogation beam and a reference beam. The particle interrogation zone may be disposed in the path of the interrogation beam. The reflecting surface may be configured to reflect the interrogation beam back on itself. The second beam splitter may be configured to: (i) receive the reference beam and side scattered light from one or more particles interacting with the interrogation beam in the particle interrogation zone; and (ii) produce a first component beam and second component beam. The first photodetector may be configured to detect the first component beam. The second photodetector may be configured to detect the second component beam.

Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

Systems and methods are provided for Quantitative Phase Microscopes (QPM) having laser systems including one or more of laser scissors and laser tweezers. In one embodiment, the system includes one or more structural elements, such as a stage and dichroic plate for operation of a QPM with laser scissors/tweezers. Another embodiment is directed to a method of operating a QPM system having laser scissors/tweezers. One or more solutions are provided for biodmedical applications of a QPM system including simulation and analysis of trauma on cellular structures and organelles. Processes are also provided for simulation and analysis of traumatic injury, including imaging and analysis of astrocytes.

Holographic Video Microscopy analysis of non-spherical particles is disclosed herein. Properties of the particles are determined by application of light scattering theory to holography data. Effective sphere theory is applied to provide information regarding the reflective index of a sphere that includes a target particle. Known particles may be co-dispersed with unknown particles in a medium and the holographic video microscopy is used to determine properties, such as porosity, of the unknown particles.

An observation apparatus includes a light source unit, an irradiation optical system, an imaging optical system, a modulation unit, an imaging unit, an analysis unit, beam splitters and, and mirrors. The analysis unit obtains a real part of a function χ(t)=log [1+U.sub.obj(t)/U.sub.ref(t)], defined by time series data U.sub.obj(t) of a complex amplitude image of object light on an imaging plane and time series data U.sub.ref(t) of a complex amplitude image of reference light on the imaging plane, based on time series data I(t) of an intensity image of interference light on the imaging plane and time series data I.sub.ref(t) of an intensity image of the reference light on the imaging plane. Further, the analysis unit obtains an imaginary part of χ(t) from the real part of χ(t) using the Kramers-Kronig relations, and further obtains U.sub.obj(t).