Machine learning to correct for nonphotochemical quenching in high-frequency, in vivo fluorometer data

Nonphotochemical quenching (NPQ) is a response mechanism in plants and algae that allows them to process and dissipate excess excitation energy as heat safely. Collecting fluorescence data from these plants and algae in surface water environments can incur errors from NPQ, ultimately leading to inaccurate calculations of chlorophyll concentration for environmental and industrial water quality monitoring. Rensselaer inventors developed a novel approach to correcting NPQ-skewed fluorescence data by employing trained machine-learning modules that can be applied to fluorescence detection system

An Apparatus and Method for Accomodative Stimulation of an Eye and Simultaneous Ipsilateral Accomodative Imaging

The crystalline lenses of the eyes undergo mechanical, physiological, morphological and refractive changes to adjust the total refractive power of the eyes to maintain sharp visual acuity whenever an object of regard is moved toward and away from the distance at which humans typically view reading material. The aggregate changes experienced by the crystalline lenses of the eyes to maintain sharp visual acuity is referred to as accommodation. At any given time the crystalline lenses and the eyes may be regarded as being in a state of accommodation.