Abstract: An apparatus, system, or method for vial seal inspection may be based on three-dimensional data that is representative of at least a portion of a vial seal. More particularly, apparatuses, systems, and methods for vial seal inspection may include at least one laser triangulation sensor.

Abstract: Systems and methods of using machine learning for identifying glass breakage events can include (a) accessing or obtaining the machine learning mode, (b) obtaining audio data, (c) determining, by processing the audio data using the machine learning mode, whether a glass breakage event has occurred, and (d) when determined that the glass breakage event has occurred, indicating the glass breakage event has occurred. Methods and instructions for training a machine learning model for identifying a glass breakage event can include (a) obtaining training audio data, (b) classifying the training audio data into a plurality of subsets, and (c) generating the machine learning model for identifying glass breakage events using the classified subsets.

Abstract: The disclosure provides methods of purifying native and recombinant biomolecules, e.g., proteins, from mammalian cells using purification protocols incorporating harvest recovery operations involving decanter centrifugation of at least one target biomolecule from at least one particulate component of cell culture fluid. The unexpected capacity of decanter centrifuge separation of biological materials of similar densities found in mammalian cell culture fluid has been found to yield high quantities of functional protein in efficient, low-cost harvest recovery steps of biomolecule purification protocols.

Abstract: A system for measuring an air gap in a syringe having a plunger and containing a fluid of the present disclosure may include one or more processors configured to control a syringe imaging device to capture a first image of at least a portion of the syringe with the syringe imaging device oriented at a first rotational angle around a central syringe axis of the syringe with respect to a first central imaging axis of the syringe imaging device. The one or more processors may also be configured to control the syringe imaging device to capture a second image of at least a portion of the syringe with the syringe imaging device oriented at a second rotational angle around the central syringe axis with respect to a second central imaging axis. The one or more processors may be further configured to determine an air gap measurement between the plunger and fluid by analyzing at least the first image and the second image.

Abstract: Systems and methods of performing line clearance and monitoring are disclosed herein. An example method includes receiving a first and second set of images of a manufacturing line during a run-time operation of the manufacturing line, the first set of images representing a first field of view (FOV) that is oriented to capture objects while falling from the manufacturing line, and the second set of images representing a second FOV that is different from the first FOV and oriented to capture objects positioned below the manufacturing line. The example method further includes analyzing the first set of images to identify a falling object; and analyzing the second set of images to identify a stationary object. The example method further includes, responsive to identifying the falling object or the stationary object, causing a display to present a notification that includes an image of the falling object or the stationary object.

Abstract: Automatic prefilled syringe inspection systems, apparatus and methods are provided. The automatic syringe inspection systems, apparatus and methods may determine a plunger depth within a syringe that has been pre-filled with a medication. The plunger depth may be based on digital image data that is representative of a silhouette of at least a portion of a tubular vessel and at least a portion of a plunger within the tubular vessel.

Abstract: Automatic prefilled syringe inspection systems, apparatus and methods are provided. The automatic syringe inspection systems, apparatus and methods may determine a plunger depth within a syringe that has been pre-filled with a medication. The plunger depth may be based on digital image data that is representative of a silhouette of at least a portion of a tubular vessel and at least a portion of a plunger within the tubular vessel.

Abstract: In a method for replicating performance of an automated visual inspection (AVI) station, a mimic AVI station that performs one or more AVI functions of the AVI station is constructed. One or more container images are captured by an imaging system of the AVI station while a container is illuminated by an illumination system of the AVI station, and one or more additional container images are captured by a mimic imaging system of the mimic AVI station. The method also includes identifying, by one or more processors, one or more differences between the one or more additional container images and the one or more container images, generating, by the one or more processors, a visual indication of the difference(s) and/or one or more suggestions for modifying the mimic AVI station, and modifying the mimic AVI station based on the visual indication.

Abstract: Artificial lyo-vials are provided that include a portion of a vial. The portion of the vial includes a vial wall with a top end opening and a bottom end opening. The bottom end opening includes an inside diameter that is greater than an inside diameter of the top end opening. At least a portion of the vial wall is translucent. The artificial lyo-vials include an artificial lyo-cake. The artificial lyo-cake is secured within the portion of the vial. The artificial lyo-cake includes a base, an annular surface, a top surface, and a longitudinal dimension extending from the base to at least a portion of the top surface. An outside diameter of the artificial lyo-cake is greater than the inside diameter of the top end opening.

Abstract: A robotic inspection platform comprises a robotic arm, an imager, and a controller. The controller causes the robotic arm to retrieve, using its end effector, a container, and to manipulate the container such that the container is sequentially placed in a plurality of orientations while in view of the imager. The controller also causes the imager to capture images, with each of the images being captured while the container is in a respective one of the orientations. The controller also determines one or more attributes of the container, and/or a sample within the container, by analyzing the images using a pattern recognition model and, based on the attribute(s), determines whether the container and/or sample satisfies one or more criteria. If the container and/or sample fails to satisfy the criteria, the controller causes the robotic arm to place the container in an area (e.g., bin) reserved for rejected containers and/or samples.

Abstract: Automatic prefilled syringe inspection systems, apparatus and methods are provided. The automatic syringe inspection systems, apparatus and methods may determine a plunger depth within a syringe that has been pre-filled with a medication. The plunger depth may be based on digital image data that is representative of a silhouette of at least a portion of a tubular vessel and at least a portion of a plunger within the tubular vessel.

Abstract: An automated visual inspection (AVI) system may include at least one profile view imager having an optical axis that passes through an inspection object, a proximal polarizing film axially aligned with the optical axis, a liquid crystal device axially aligned with the optical axis, a distal polarizing film axially aligned with the optical axis, and at least one light source oriented to emit illumination toward the distal polarizing film. Alternatively, or additionally, an AVI system may include a profile view imager having an optical axis that enters a container through a side wall of the container, and a ring light that is coaxially aligned with a central axis of the container, below the container, and oriented to emit light toward a bottom of the container. The AVI system may also include a bottom imager coaxially aligned with the central axis and oriented to view the bottom of the container.

Abstract: Systems and methods of using machine learning for identifying glass breakage events can include (a) accessing or obtaining the machine learning mode, (b) obtaining audio data, (c) determining, by processing the audio data using the machine learning mode, whether a glass breakage event has occurred, and (d) when determined that the glass breakage event has occurred, indicating the glass breakage event has occurred. Methods and instructions for training a machine learning model for identifying a glass breakage event can include (a) obtaining training audio data, (b) classifying the training audio data into a plurality of subsets, and (c) generating the machine learning model for identifying glass breakage events using the classified subsets.

Abstract: A robotic inspection platform comprises a robotic arm, an imager, and a controller. The controller causes the robotic arm to retrieve, using its end effector, a container, and to manipulate the container such that the container is sequentially placed in a plurality of orientations while in view of the imager. The controller also causes the imager to capture images, with each of the images being captured while the container is in a respective one of the orientations. The controller also determines one or more attributes of the container, and/or a sample within the container, by analyzing the images using a pattern recognition model and, based on the attribute(s), determines whether the container and/or sample satisfies one or more criteria. If the container and/or sample fails to satisfy the criteria, the controller causes the robotic arm to place the container in an area (e.g., bin) reserved for rejected containers and/or samples.

Abstract: A system for dispensing, inspecting, and/or processing drug includes a tray adapted to be operably coupled with a workstation, a handle member operably coupled with the tray, and a funnel region operably coupled with the tray. The tray has a body defining a recessed region and a sidewall positioned adjacent to the recessed region. The handle member is positioned at or near a first corner of the tray. The funnel region is positioned at or near a second corner of the tray. The first corner is opposite the second corner.

Abstract: An apparatus, system, or method for vial seal inspection may be based on three-dimensional data that is representative of at least a portion of a vial seal. More particularly, apparatuses, systems, and methods for vial seal inspection may include at least one laser triangulation sensor.

Abstract: A telepresence system may include at least one telepresence device including a digital camera having camera control inputs and a video feed output. The system may also include at least one remote device having a web browser. The camera control inputs may be communicated from the remote device to the at least one telepresence device via an embedded webserver. The video feed output may be communicated to the remote device via a video server configured to transmit real-time video data from the digital camera, over a secure socket connection, to the remote device.

Abstract: Fill-finish assemblies facilitating the manufacture of a drug delivery device are disclosed. The fill-finish assembly may include a container, an insertion mechanism, a fluid pathway connection assembly disposed between the container and the insertion mechanism, and a carrier. The insertion mechanism may include a delivery member and an insertion mechanism housing. The insertion mechanism may be configured to move the delivery member from a retracted position inside the insertion mechanism housing to a deployed position outside the insertion mechanism housing. The fluid pathway connection assembly may be selectively activatable to establish fluid communication between the container and the delivery member. The carrier may have a hollow interior containing at least a portion of each of the container, the insertion mechanism, and the fluid pathway connection assembly.

Abstract: A method of aligning images for 3D imaging of a sample includes, for each of multiple cameras located around a vessel, activating a respective light source that provides backlighting for the vessel, and capturing a respective 2D calibration image of the vessel. The method also includes, for each 2D calibration image, measuring a respective vertical position, horizontal position, and rotation of the image, in part by detecting edges of the vessel as depicted in the image. The method also includes generating calibration data based on the measured vertical positions, horizontal positions, and rotations for the respective 2D calibration images, capturing, by each camera, a respective set of 2D images of the sample in the vessel, and digitally resampling, using the calibration data, at least one of the respective sets of 2D images to correct for vertical offset, horizontal offset, and rotational offset of the set(s) of 2D images.

Abstract: Various techniques facilitate the development of an image library that can be used to train and/or validate an automated visual inspection (AVI) model, such an AVI neural network for image classification. In one aspect, an arithmetic transposition algorithm is used to generate synthetic images from original images by transposing features (e.g., defects) onto the original images, with pixel-level realism. In other aspects, digital inpainting techniques are used to generate realistic synthetic images from original images. Deep learning-based inpainting techniques may be used to add, remove, and/or modify defects or other depicted features. In still other aspects, quality control techniques are used to assess the suitability of image libraries for training and/or validation of AVI models, and/or to assess whether individual images are suitable for inclusion in such libraries.