Abstract:
An automated system for sampling seeds generally includes an automated sampling station having a sampler configured to remove material from a seed while protecting germination viability of the seed, a seed conveyor configured to receive the seed from out of the sampling station after the material is removed from the seed, and a sample conveyor configured to receive the material removed from the seed. The sample conveyor is configured to locate the material removed from the seed in a sample container, and the seed conveyor is configured to locate the seed from which the material is removed in a seed container so as to facilitate a one-to-one correspondence between the seed and the material removed from the seed.
Abstract:
The current disclosure describes an automated high-throughput small object sorting system for separating small object via oil and/or moisture content using novel nuclear magnetic resonance (NMR) systems and methods. The disclosed systems and methods for measuring the oil and/or moisture content of a single small object in a low-field time domain NMR instrument are superior in sample throughput and signal-to-noise ratio to conventional NMR systems and methods (free induction decay or spin echo) for single small object oil/moisture measurement.
Abstract:
An automated object sorting system is provided. In various embodiments, the automated object sorting system includes an automated object extraction assembly and an automated object collection assembly. The automated object extraction assembly extracts one or more objects from an object sorting tray based on one or more attributes and/or traits of interest. The automated collection assembly selectively deposits the extracted objects in selected collection receptacles according to the particular attributes and/or traits of each respective object.
Abstract:
A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.
Abstract:
An automated seed sampler system includes an imaging device for obtaining images of seeds, an orienting device for orienting the seeds based on the images, and a sampling station for removing tissue from the oriented seeds. In some aspects, the system also includes a transport subsystem for supporting the oriented seeds and conveying the oriented seeds to the sampling station. A method for removing tissue from seeds includes imaging the seeds, orienting the seeds based on image information obtained from the seeds, and removing tissue from the oriented seeds. In some aspects, the method also includes transporting the oriented seeds in a transport subsystem to a sampling station for removing the tissue from the oriented seeds, and/or collecting the tissue removed from the oriented seeds so that a one-to-one correspondence exists between the tissue and the sampled seeds, and/or analyzing the tissue for characteristics indicative of genetic and/or chemical traits.
Abstract:
An automated method for analyzing seeds generally includes collecting image data from individual seeds using a seed sampling system, determining at least one characteristic of each of the individual seeds based on the collected image data, and removing tissue from each of the individual seeds using the seed sampling system. The method also includes, prior to removing the tissue sample from each of the individual seeds, adjusting at least one operational parameter of the seed sampling system based on the at least one characteristic of the seed from which the tissue is to be removed to thereby allow for generally consistent removal of tissue from each of the individual seeds. In some aspects, the method further includes analyzing the tissue removed from the seeds for presence or absence of at least one characteristic, and selecting seeds based on presence or absence of the at least one characteristic.
Abstract:
An automated method for analyzing seeds generally includes collecting image data from individual seeds using a seed sampling system, determining at least one characteristic of each of the individual seeds based on the collected image data, and removing tissue from each of the individual seeds using the seed sampling system. The method also includes, prior to removing the tissue sample from each of the individual seeds, adjusting at least one operational parameter of the seed sampling system based on the at least one characteristic of the seed from which the tissue is to be removed to thereby allow for generally consistent removal of tissue from each of the individual seeds. In some aspects, the method further includes analyzing the tissue removed from the seeds for presence or absence of at least one characteristic, and selecting seeds based on presence or absence of the at least one characteristic.
Abstract:
The current disclosure describes an automated high-throughput small object sorting system for separating small object via oil and/or moisture content using novel nuclear magnetic resonance (NMR) systems and methods. The disclosed systems and methods for measuring the oil and/or moisture content of a single small object in a low-field time domain NMR instrument are superior in sample throughput and signal-to-noise ratio to conventional NMR systems and methods (free induction decay or spin echo) for single small object oil/moisture measurement.
Abstract:
A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.
Abstract:
An automated seed sampler system includes an orientation system configured to orient a seed, and a sampling station configured to remove tissue from the oriented seed. In addition, a method for removing tissue from seeds includes positioning multiple seeds together in a desired orientation in a seed transport subsystem, and removing tissue from the oriented seeds while the seeds are in the seed transport subsystem.