Abstract: Aspects of the present disclosure relate to a method of processing an input image of a culture device for a condition. The method can include receiving the input image and classifying the input image with a trained machine learning model that is configured to be trained on a training set of images having the condition. The method can include determining that the condition exists in the input image based on the classification and performing at least one action in response to the determination that the condition exists.

Abstract: Aspects of the present disclosure relate to a method of colony enumeration. The method includes identifying colony forming units of microorganisms in a combined image using a pretrained deep learning model on a colony enumeration device. The method can include providing a plurality of identification characteristics of the colony forming units to an interaction component such that the interaction component can project at least some of the plurality of identification characteristics onto the combined image.

Abstract: The technology disclosed herein relates to an imaging device. In some embodiments the imaging device has a support plate defining an object plane. A housing surrounds the object plane across the support plate. A first reflector plane is within the housing and in reflective communication with the object plane. The first reflector plane is 68.0° to 70.0° from the object plane. A second reflector plane within the housing and in reflective communication with the object plane. The second reflector plane is 68.0° to 70.0° from the object plane. Other embodiments are also described.

Abstract: An example system includes an image capture device configured to capture a sequence of images representative of a sample of microbial growth; and a processing unit having one or more processors, the one or more processors configured to pass the image data for the sequence of images through a machine learning model trained to generate one or more predicted future images of the microbial colony at a future time, the machine learning model trained using historical image data, the historical image data comprising a plurality of historical image data sets, each historical image data set of the historical image data sets comprising image data for a historical sequence of images of a corresponding historical microbial colony sample, wherein a prediction time interval between the future time and a capture time of a last image of the sequence of images is greater than each of the sampling time intervals.

Abstract: The technology disclosed herein relates to an imaging device. In some embodiments the imaging device has a support plate defining an object plane. A housing surrounds the object plane across the support plate. A first reflector plane is within the housing and in reflective communication with the object plane. The first reflector plane is 68.0° to 70.0° from the object plane. A second reflector plane within the housing and in reflective communication with the object plane. The second reflector plane is 68.0° to 70.0° from the object plane. Other embodiments are also described.

Abstract: Implementations feature scannable form techniques and systems. Some aspects feature a scannable form including at least one response column parallel to a first longitudinal edge of the scannable form, and a broken ladder having two substantially parallel lines with locations for multiple rungs corresponding to encoded information that identifies a person assigned to the scannable form. A top rung is positioned on the scannable form so that the top rung can be a first rung that is scanned by a test scoring machine for the broken ladder, and a bottom rung is positioned so that the bottom rung can be a last rung that is scanned by the test scoring machine for the broken ladder. Other aspects feature a method to determine correct scoring key data in the test scoring machine for a test, and a method of transmitting information between the test scoring machine and a portable memory device.

Abstract: Implementations feature scannable form techniques and systems. Some aspects feature an apparatus that includes a pen-camera device, an electronic clipboard to store the pen-camera device, and a docking station for the clipboard. The clipboard includes a retention clip to hold a form on a substantially planar surface, and a pen-camera storage compartment to store the pen-camera device. The clipboard includes a power supply interface for charging the pen-camera device, a communication interface to transmit image and location data from the pen-camera device, and electrical interfaces for the clipboard docking station. The pen-camera device can mark response data on the form, optically scan response data and location data on the form, and associate time-stamped information for the marked responses on the form for error checking and fraud detection. The scannable form can include an area for encoded information that identifies a location and arrangement of a position-coding pattern on the form.

Abstract: Implementations feature scannable form techniques and systems. Some aspects feature a scannable form including at least one response column parallel to a first longitudinal edge of the scannable form, and a broken ladder having two substantially parallel lines with locations for multiple rungs corresponding to encoded information that identifies a person assigned to the scannable form. A top rung is positioned on the scannable form so that the top rung can be a first rung that is scanned by a test scoring machine for the broken ladder, and a bottom rung is positioned so that the bottom rung can be a last rung that is scanned by the test scoring machine for the broken ladder. Other aspects feature a method to determine correct scoring key data in the test scoring machine for a test, and a method of transmitting information between the test scoring machine and a portable memory device.

Abstract: Implementations feature scannable form techniques and systems. Some aspects feature an apparatus that includes a pen-camera device, an electronic clipboard to store the pen-camera device, and a docking station for the clipboard. The clipboard includes a retention clip to hold a form on a substantially planar surface, and a pen-camera storage compartment to store the pen-camera device. The clipboard includes a power supply interface for charging the pen-camera device, a communication interface to transmit image and location data from the pen-camera device, and electrical interfaces for the clipboard docking station. The pen-camera device can mark response data on the form, optically scan response data and location data on the form, and associate time-stamped information for the marked responses on the form for error checking and fraud detection. The scannable form can include an area for encoded information that identifies a location and arrangement of a position-coding pattern on the form.