Abstract: The detection system of the first preferred embodiment includes a detector, having a wide dynamic range, that receives photonic inputs from an interrogation zone and produces an analog signal; and an analog-to-digital converter (ADC), having a high bit resolution, that is coupled to the detector and converts an analog signal to a digital signal. The digital signal includes an initial data set of the full dynamic range of the input signals from the flow cytometer sample. The method of extracting and analyzing data from a flow cytometer system of the first preferred embodiment preferably includes the steps of: collecting a full dynamic range of input signals from a flow cytometer sample; recognizing and annotating aggregate particle events; and storing an initial data set and an annotated data set of the full dynamic range of the input signals from the flow cytometer sample.

Abstract: A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.

Abstract: A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.

Abstract: A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.

Abstract: The present disclosure related to an apparatus that may be used for taking blood glucose measurements and providing individualized insulin dose recommendations wherein the apparatus is easy to use and facilitates improved diabetes control in patients. Also disclosed are related methods.

Abstract: The detection system of the first preferred embodiment includes a detector, having a wide dynamic range, that receives photonic inputs from the interrogation zone and produces an analog signal; and an analog-to-digital converter (ADC), having a high bit resolution, that is coupled to the detector and converts an analog signal to a digital signal. The digital signal includes an initial data set of the full dynamic range of the input signals from the flow cytometer sample. The method of extracting and analyzing data from a flow cytometer system of the first preferred embodiment preferably includes the steps of: collecting a full dynamic range of input signals from a flow cytometer sample; recognizing and annotating aggregate particle events; and storing an initial data set and an annotated data set of the full dynamic range of the input signals from the flow cytometer sample.

Abstract: The detection system of the first preferred embodiment includes a detector, having a wide dynamic range, that receives photonic inputs from the interrogation zone and produces an analog signal; and an analog-to-digital converter (ADC), having a high bit resolution, that is coupled to the detector and converts an analog signal to a digital signal. The digital signal includes an initial data set of the full dynamic range of the input signals from the flow cytometer sample. The method of extracting and analyzing data from a flow cytometer system of the first preferred embodiment preferably includes the steps of: collecting a full dynamic range of input signals from a flow cytometer sample; recognizing and annotating aggregate particle events; and storing an initial data set and an annotated data set of the full dynamic range of the input signals from the flow cytometer sample.

Abstract: The flow cytometer user interface of the preferred embodiment comprises the steps of (1) running the sample and saving all collected data, (2) viewing the raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified settings, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified settings, and exporting the saved data as many times as necessary and/or desirable without the need to run an additional sample.

Abstract: The detection system of the first preferred embodiment includes a detector, having a wide dynamic range, that receives photonic inputs from the interrogation zone and produces an analog signal; and an analog-to-digital converter (ADC), having a high bit resolution, that is coupled to the detector and converts an analog signal to a digital signal. The digital signal includes an initial data set of the full dynamic range of the input signals from the flow cytometer sample. The method of extracting and analyzing data from a flow cytometer system of the first preferred embodiment preferably includes the steps of: collecting a full dynamic range of input signals from a flow cytometer sample; recognizing and annotating aggregate particle events; and storing an initial data set and an annotated data set of the full dynamic range of the input signals from the flow cytometer sample.

Abstract: A system and method are provided to allow a user to control the appearance of a control region displayed along with a medical image on a medical device. In one preferred embodiment, when the user positions a pointer over a control region, the appearance of the control region ensures readability by a user. When the user positions the pointer away from the control region, the appearance of the control region changes to a less distracting form. In this way, control regions are made easy to read when a user is using the controls and are made less distracting when a user is viewing displayed medical images.