A method of isotope-labelling a microbiota sample. It involves providing a first microbiota sample that was obtained from a given source; exposing the first microbiota sample to an isotope enriched medium; and culturing the exposed first microbiota sample in the isotope enriched medium to obtain an isotope-labelled microbiota sample, wherein the isotope labelled metaproteome of the isotope-labelled microbiota sample is taxon specific for taxa present in the first microbiota sample when initially obtained from the given source.

The systems and methods can provide continuous, efficient, accurate, non-contact, monitoring of one or more cardiorespiratory and/or behavior parameters associated with a subject in a defined environment using at least non-contact sensor data and provide feedback based on the determined parameters. The system can include one or more sensor modules disposed within defined environment(s). The system may further include one or more sensors disposed at a specific spatial location in the defined environment. The sensor(s) may include non-contact electric field sensor(s) configured to record non-contact sensor data related to one or more periods of stillness and/or movement of the subject. The system may further include one or more processors configured to determine cardiorespiratory respiratory parameters and/or behavior parameters using the non-contact sensor data. Because the systems and methods also allow for continuous collection of measurable variables, they can provide a high-throughput quantifiable record of the subject's physio-behavioral self.

An information processor can logically support prediction based on past statistical information even though the information contains qualitative or non-numerical data. The processor determines whether an input pattern corresponding to an input object (a determination target) belongs to a specific class among multiple classes, based on feature subsets of any combination of a plurality of features, each feature comprises multiple categories. The processor includes a storage storing the input pattern corresponding to the input object and samples corresponding to respective sample objects and a classification determiner determining whether the input pattern belongs to the specific class. The classification determiner calculates a first conditional probability and a second conditional probability based on the number of the samples belonging to each category of the respective features, the first conditional probability is a probability that the data of the input pattern belong to categories corresponding to the respective feature for the specific class, the second conditional probability is a probability that the data of the input pattern belong to categories corresponding to the respective features for a non-specific class which is a class other than the specific class among classes, and the number of the samples is counted for each class based on the feature information on the samples and the class label information on the samples, and determines whether the input pattern belongs to the specific class based on the feature information on the input pattern, the first conditional probability and the second conditional probability.

The disclosed apparatus, systems and methods relate to devices, systems and methods for the collection of bodily fluids. The collector can make use of microfluidic networks connected to collection sites on the skin of a subject to gather and shuttle blood into a removable cartridge. The collected fluid is supplied to substrate for drying, storage and transport.

Methods of evaluating homeostatic capacity of a subject are provided. Aspects of the methods include obtaining dynamic biometric data from the subject and evaluating the homoeostatic capacity of the subject from the obtained dynamic biometric data. Also provided are devices configured for use in practicing the methods. The methods and devices described herein find use in a variety of applications, e.g., health monitoring applications, treatment applications, dynamic diagnostic applications, etc.

The present disclosure relates to measuring biosignals (particularly, electroencephalogram) of fish in a non-invasive and multi-channels manner, with a multi-channel electrode array of one or more conductive plates non-invasively attached to the epidermis of the fish outside of the water a; a reference electrode non-invasively attached to the epidermis of the fish outside of the surface of the water; a supply device that supplies a predetermined material and oxygen to the fish outside of the water; and a minute tube inserted into the oral cavity of the fish outside of the water to resuscitate the fish in a stable state to generate normal electroencephalogram.

A restrainer system for performing awake-animal imaging on a rodent. The system comprises a front section, a first pair of adjustable side pieces for contacting with a snout of the rodent from both sides, a second pair of adjustable side pieces for contacting with a rear jaw of the rodent from both sides, a front section, first floating component for applying pressure to a nose section of the rodent during testing and a mouthpiece for holding the rodent's teeth. That front section connects to a middle section having a floor element upon which to rest a main body of the rodent and all four limbs, a pair of adjustable walls for applying pressure to the rodent's back legs, and a middle section floating component for applying pressure to the rodent's shoulder blades from above. The latter connects to a rear section having a plateau onto which to rest the rodent's tail, and a rear section floating component for securing over the rodent's tail. A method of use is also disclosed.

A method of measuring at least one biomechanical property of a reproductive cellular structure is provided. The method includes illuminating the reproductive cellular structure with radiation; detecting at least a portion of radiation scattered from the illuminated reproductive cellular structure; analyzing a frequency spectrum of the detected scattered radiation to identify at least one Brillouin frequency shift in the frequency spectrum; and determining the at least one biomechanical property based on the Brillouin frequency shift. The method further includes determining a viability index of the reproductive cellular structure based on the at least one biomechanical property.

Apparatus for evoking and sensing ophthalmic physiological signals in an eye, the apparatus comprising: an elongated tubular light pipe having a longitudinal axis, a distal end and a proximal end, the distal end terminating in a spheroid recess; an active electrode having a distal end and a proximal end, the active electrode being mounted to the elongated tubular light pipe and extending proximally along the elongated tubular light pipe so that the distal end of the active electrode terminates at the spheroid recess at the distal end of the elongated tubular light pipe; and a reference electrode having a distal end and a proximal end, the reference electrode being mounted to the elongated tubular light pipe and extending proximally along the elongated tubular light pipe so that the distal end of the reference electrode terminates at the spheroid recess at the distal end of the elongated tubular light pipe; wherein the distal end of the active electrode is located closer to the longitudinal axis of the elongated tubular light pipe than the distal end of the reference electrode.

Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.