Abstract: A pipette dispenser vision system and method are disclosed. For example, a pipette dispenser vision system is provided for tracking pipettes with respect to dispensing liquid into target fluid wells, vessels, and/or reservoirs. The presently disclosed pipette dispenser vision system may include, for example, a computing device, a red/green/blue (RGB) imaging device, an infrared (IR) imaging device, an IR illumination source, and an IR sensor; all arranged with respect to, for example, a single-channel and/or a multi-channel pipette for dispensing liquid into a dispensing platform. Further, a method of using the presently disclosed pipette dispenser vision system is provided. For example, the method processes image data from the RGB imaging device and/or the IR imaging device to monitor/verify certain operations of the pipetting process and/or dispensing platform.

Abstract: Methods and systems for optimal capture of a multi-channel image in a LSPR spectrometry is described herein. The method comprises 1) finding a plurality of valid groupings of channels, 2) determining total capture times for each valid grouping of channels, 3) determining a measure of exposure sub-optimality, 4) estimating the expected error in peak wavelength for each valid grouping, 5) finding an optimal grouping of channels by identifying the grouping with the lowest estimate of expected error in peak wavelength and 6) capturing a subsequent multi-channel image using the optimal grouping.

Abstract: A system and method for fording the peak wavelength of the spectrum sensed by an LSPR spectrometer is described herein. The method comprises reading an image representing the reflected/absorbed spectrum, using a mathematical model of the LSPR spectrometer system to estimate a parametric curve representing the absorbance/reflectance spectrum, and adjusting or optimizing the parameters of the parametric curve so as to increase the likelihood of the parametric curve representing the sensed spectrum. Also described herein is a novel method to achieve LSPR peak wavelength signal noise reduction using an adaptive regularization algorithm.

Abstract: A plasmon resonance (PR) system, instrument, and/or device and configurations thereof for measuring molecular interactions is disclosed. In some embodiments, the PR system, instrument, and/or device is a localized surface plasmon resonance (LSPR) system, instrument, and/or device. In other embodiments, the PR system, instrument, and/or device is a surface plasmon resonance (SPR) system, instrument. The PR system, instrument, and/or device may include, for example, force feedback for reliable flow cell sealing, optical feedback for reliable flow cell sealing, local thermal control of an LSPR chip (e.g., a ring Peltier, a continuous Peltier), dual displacement pumps for constant flow delivery to a microfluidic device, a dual channel LSPR sensor, and any combinations thereof.

Abstract: Provided herein is a sensing apparatus comprising, at least one LSPR light source, at least one detector, and at least one sensor for LSPR detection of a target chemical. The sensor comprises a substantially transparent, porous membrane having nanoparticles immobilized on the surface of its pores, the nanoparticles being functionalized with one or more capture molecules. There is further provided a self-referencing sensor for distinguishing non-specific signals from analyte binding signals. The self-referencing sensor comprising one or more nanoparticles having at least two distinct LSPR signals.

Abstract: Provided herein is a sensing apparatus comprising, at least one LSPR light source, at least one detector, and at least one sensor for LSPR detection of a target chemical. The sensor comprises a substantially transparent, porous membrane having nanoparticles immobilized on the surface of its pores, the nanoparticles being functionalized with one or more capture molecules. There is further provided a self-referencing sensor for distinguishing non-specific signals from analyte binding signals. The self-referencing sensor comprising one or more nanoparticles having at least two distinct LSPR signals.

Abstract: Provided herein is a sensing apparatus comprising, at least one LSPR light source, at least one detector, and at least one sensor for LSPR detection of a target chemical. The sensor comprises a substantially transparent, porous membrane having nanoparticles immobilized on the surface of its pores, the nanoparticles being functionalized with one or more capture molecules. There is further provided a self-referencing sensor for distinguishing non-specific signals from analyte binding signals. The self-referencing sensor comprising one or more nanoparticles having at least two distinct LSPR signals.

Abstract: Provided herein is a sensing apparatus comprising, at least one LSPR light source, at least one detector, and at least one sensor for LSPR detection of a target chemical. The sensor comprises a substantially transparent, porous membrane having nanoparticles immobilized on the surface of its pores, the nanoparticles being functionalized with one or more capture molecules.

Abstract: Provided herein is a sensing apparatus comprising, at least one LSPR light source, at least one detector, and at least one sensor for LSPR detection of a target chemical. The sensor comprises a substantially transparent, porous membrane having nanoparticles immobilized on the surface of its pores, the nanoparticles being functionalized with one or more capture molecules.