Terumo Bct, Inc.

Caridianbct, Inc.

Gambro, Inc.

William Sweat

Jeremy P Kolenbrander

Christopher Fletcher

John R Lindner

John R Linder

Aditya Dalvi

Frank Corbin, Iii

Robert W Langley

Steven Gage Urdahl

Scott Butzke

Peter Fletcher-Haynes

Christopher Corey Howells

Jennifer Hinz

Richard Judy

Kim Pemberton

Jennifer Wheeler

Embodiments are described for receiving first data related to an amount of a first component in a multi-component liquid. A gain may be determined based on the first data. The multi-component liquid may be separated into at least two components. The gain may then be used to control a position of an interface between two separated components of the multi-component liquid, such as by using the gain in changing a speed of a pump pumping at least one of the components.

Gain in separation processes with control loop

A method is provided in a centrifugal blood processing system for adding replacement fluid without a dedicated peristaltic pump to blood components being returned to the donor. A disposable blood processing set for use in the method comprises a hermetically sealed set of blood bags, connecting tubes, needles or connectors, and supporting structures with a replacement fluid line coupled directly to a return reservoir without contact with an intervening pump.

System for blood separation with replacement fluid apparatus and method

A centrifuge for separating blood having a camera observing fluid flow, and a controller controlling the flow. The location of an interface is detected by image processing steps, which may comprise the steps of 'spoiling' the image, 'diffusing' the image, &#x201c;edge detection&#x201d;, &#x201c;edge linking&#x201d;, &#x201c;region-based confirmation&#x201d;, and &#x201c;interface calculation&#x201d;. &#x201c;Spoiling&#x201d; reduces the number of pixels to be examined preferentially on orthogonal axis oriented with respect to the expected location of the interface or phase boundary. &#x201c;Diffusing&#x201d; smoothes out small oscillations in the interface boundary, making the location of the interface more distinct. &#x201c;Edge detection&#x201d; computes the rate of change in pixel intensity. &#x201c;Edge linking&#x201d; connects adjacent maxima. &#x201c;Region-based confirmation&#x201d; creates a pseudo image of the regions that qualify as distinct. &#x201c;Final edge calculation&#x201d; uses the points where the shade changes in the pseudo image, averages the radial displacement of these points for the interface position.

Blood processing apparatus with robust automated process control

A centrifuge for separating blood having a camera observing fluid flow, and a controller controlling the flow. The location of an interface is detected by image processing steps, which may comprise the steps of 'spoiling' the image, 'diffusing' the image, &#x201c;edge detection&#x201d;, &#x201c;edge linking&#x201d;, &#x201c;region-based confirmation&#x201d;, and &#x201c;interface calculation&#x201d;. &#x201c;Spoiling&#x201d; reduces the number of pixels to be examined preferentially on orthogonal axis oriented with respect to the expected location of the interface or phase boundary. &#x201c;Diffusing&#x201d; smoothes out small oscillations in the interface boundary, making to the location of the interface more distinct. &#x201c;Edge detection&#x201d; computes the rate of change in pixel intensity. &#x201c;Edge linking&#x201d; connects adjacent maxima. &#x201c;Region-based confirmation&#x201d; creates a pseudo image of the regions that qualify as distinct. &#x201c;Final edge calculation&#x201d; uses the points where the shade changes in the pseudo image, averages the radial displacement of these points for the interface position.

A centrifuge for separating blood having a camera observing fluid flow, and a controller controlling the flow. The location of an interface is detected by image processing steps, which may comprise the steps of 'spoiling' the image, 'diffusing' the image, &#x201c;edge detection&#x201d;, &#x201c;edge linking&#x201d;, &#x201c;region-based confirmation&#x201d;, and &#x201c;interface calculation&#x201d;. &#x201c;Spoiling&#x201d; reduces the number of pixels to be examined preferentially on orthogonal axis oriented with respect to the expected location of the interface or phase boundary. &#x201c;Diffusing&#x201d; smoothes out small oscillations in the interface boundary, making the location of the interface more distinct. &#x201c;Edge detection&#x201d; computes the rate of change in pixel intensity, or. &#x201c;Edge linking&#x201d; connects adjacent maxima. &#x201c;Region-based confirmation&#x201d; creates a pseudo image of the regions that qualify as distinct. &#x201c;Final edge calculation&#x201d; uses the points where the shade changes in the pseudo image, averages the radial displacement of these points for the interface position.

A density centrifuge blood processing system with automatic two-dimensional optical control of fluid separation by observing fluid characteristics in observation regions. The location of the regions is determined by monitoring an optical reference. Points representing edges of an optical reference are measured and lines are computed through the points. An error measurement is calculated for each line. If the error is too large, the image is abandoned. One of the lines is selected as a referent line. A new line is calculated orthogonal to the referent line. The error function is again computed for the dependant line. If the error exceeds a selected maximum, the frame is discarded. A transformation function translates data points from an (r, s) domain derived from measurements of the edges into an (x, y) domain used to identify pixels in the observation areas.

Blood processing apparatus with optical reference control

A blood cell collection system having means for detecting when a cell separation chamber has filled with white blood cells, and flushing the cells out of the cell separation chamber into a collect bag. A red-green sensor senses the optical characteristics of fluid leaving the cell separation chamber. A baseline value is calculated. The device calculates a ratio of the intensities of red light and green light and a peak-to-peak ratio of intensities. If either ratio exceeds thresholds computed from the baseline, the device flushes the cells into the collect bag. A camera detects white cells passing into the cell separation chamber and the device calculates the number of cells being collected. If the calculated number of collected cells exceeds a certain limit, the cell separation chamber is flushed. If the device is unable to establish a baseline, the donation can proceed, relying solely on the calculated number of collected cells.

Blood processing apparatus with controlled cell capture chamber trigger

A density centrifuge blood processing system comprising a separation chamber rotating about a central rotation axis, the separation chamber being coupled to an elutriation chamber, a first detector for the separation chamber to detect light from an observation region, a computational apparatus distinguishing at least two regions in the observation region and distinguishing incipient spill over of cellular components out of the elutriation chamber as a function of light intensity received from the at least two regions in the separation chamber, and a controller regulating speed of at least one pump or of the separation chamber in response to signals from the computational apparatus to avoid spill over.

Blood processing apparatus with incipient spill-over detection

A blood component collection system with manipulation and optimization capabilities. In one embodiment, process parameters are derived from an input/configured predetermined blood component yield and which is based upon the maximization of at least one process parameter. Thereafter, the blood component collection procedure is performed with these derived process control parameters. In another embodiment, process parameters are derived from an input total procedure time from a maximized value for at least one of the other process control parameters so as to maximize blood component yield in this fixed time. Thereafter, the blood component collection procedure is performed with these derived parameters.

Growing community of inventors

Lakewood, CO, United States of America

William Sweat