In order to quantitatively characterize biological objects, for example individual cells, a stimulus is applied to a biological object (8) in a contactless fashion. A measurement and a further measurement are performed on the biological object (8) in order to ascertain a response of the biological object (8) to the stimulus, wherein the measurement and the further measurement comprise detecting Raman scattering on and/or in the biological object (8) and/or capturing data using digital holographic microinterferometry (DHMI). The biological object (8) is characterized according to a result of the measurement and is sorted if needed. The stimulus can be applied by means of a laser beam that creates optical tweezers or an optical trap, by means of ultrasonic waves or an electric or magnetic radio frequency field.

This disclosure describes single-use test cartridges, cell analyzer apparatus, and methods for automatically performing microscopic cell analysis tasks, such as counting and analyzing blood cells in biological samples. A small measured quantity of a biological sample, such as whole blood, is placed in a mixing bowl on the disposable test cartridge after being inserted into the cell analyzer. The analayzer also deposits a known amount of diluent/stain in the mixing bowl and mixes it with the blood. The analyzer takes a measured amount of the mixture and dispenses in a sample cup on the cartridge in fluid communication with an imaging chamber. The geometry of the imaging chamber is chosen to maintain the uniformity of the mixture, and to prevent cells from crowding or clumping as it is transferred into the imaging chamber by the analyzer. Images of all of the cellular components within the imaging chamber are counted and analyzed to obtain a complete blood count.

A method for identifying candidate target cells within a biological fluid specimen includes a digital image of the biological fluid specimen with the digital image having a plurality of color channels, identifying first connected regions of pixels of a minimum first intensity in a first channel, identifying second connected regions of pixels of a minimum second intensity in a second channel, and determining first connected regions and second connected regions that spatially overlap. For a pair of a first connected region and a second connected region that spatially overlap, whether the second connected region overlaps the first connected region by a threshold amount is determined, and if the second connected region overlaps the first connected region by the threshold amount then the portion of the image corresponding to the overlap is continued to be treated as a candidate for classification.

Apparatus and methods are provided including imaging a blood sample that is a cell suspension deposited in a sample chamber. The cells are allowed to settle in the sample chamber to form a monolayer of cells. At least one microscopic image is acquired of the monolayer of cells using a microscope (24) while the microscope is focused at a monolayer-depth-level, and a first platelet count of platelets that have settled within the monolayer, is determined. An additional microscopic image of the simple is acquired, while the microscope is focused at a different depth level from the monolayer-depth-level, and a second platelet count of platelets that have not settled within the monolayer is determined. An output is generated based upon the first and second platelet counts. Other applications are also described.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

The present disclosure provides improved systems and methods for automated cell identification/classification. More particularly, the present disclosure provides advantageous systems and methods for automated cell identification/classification using shearing interferometry with a digital holographic microscope. The present disclosure provides for a compact, low-cost, and field-portable 3D printed system for automatic cell identification/classification using a common path shearing interferometry with digital holographic microscopy. This system has demonstrated good results for sickle cell disease identification with human blood cells. The present disclosure provides that a robust, low cost cell identification/classification system based on shearing interferometry can be used for accurate cell identification. For example, by combining both the static features of the cell along with information on the cell motility, classification can be performed to determine the type of cell present in addition to the state of the cell (e.g., diseased vs. healthy).

The purpose of the present invention is to collect a plurality of microscopic objects dispersed in a liquid by light irradiation, and also trap them. A collecting device for bacteria collects a plurality of bacteria dispersed in a sample liquid. The collecting device is provided with a laser beam source that emits laser beam and a honeycomb polymer film constituted so as to be able to hold the liquid. Walls prescribing pores for trapping the plurality of bacteria dispersed in the liquid are formed on the honeycomb polymer film, and also a thin film that includes a material for converting light from the laser beam source to heat is formed on the honeycomb polymer film. The thin film heats the liquid of the sample through the conversion of the laser beam from the laser beam source to heat, thereby causing a convection in the liquid.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

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.

A measurement apparatus according to an embodiment of the present technology includes a light source, a filling portion, and a detector. The light source emits illumination light. The filling portion includes a first surface portion and a second surface portion which are provided on an optical path of the illumination light and are opposite to each other, the filling portion enabling a cavity between the first and second surface portions to be filled with liquid including a cell. The detector detects an interference fringe of the illumination light passing through the cavity, the interference fringe being caused by the liquid including the cell.