Ametropia detection using a novel, compact wavefront autorefractor.

Introduction: Despite the well-known reproducibility issues of subjective refraction, most studies evaluating autorefractors compared differences between the device and subjective refraction. This work evaluated the performance of a novel handheld Hartmann-Shack-based autorefractor using an alternative protocol, which considered the inherent variability of subjective refraction.

Methods: Participants underwent an initial measurement with a desktop autorefractor, two subjective refractions (SR1 and SR2) and a final measurement with the QuickSee Free (QSFree) portable autorefractor.

Correction: Assesment of the QuickSee wavefront autorefractor for characterizing refractive errors in school-age children.

[This corrects the article DOI: 10.1371/journal.pone.

Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data.

Purpose: To assess the performance of machine learning (ML) ensemble models for predicting patient subjective refraction (SR) using demographic factors, wavefront aberrometry data, and measurement quality related metrics taken with a low-cost portable autorefractor.

Methods: Four ensemble models were evaluated for predicting individual power vectors (M, J, and J) corresponding to the eyeglass prescription of each patient. Those models were random forest regressor (RF), gradient boosting regressor (GB), extreme gradient boosting regressor (XGB), and a custom assembly model (ASB) that averages the first three models.

Predicting subjective refraction with dynamic retinal image quality analysis.

The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer.

Investigation of the Accuracy of a Low-Cost, Portable Autorefractor to Provide Well-Tolerated Eyeglass Prescriptions: A Randomized Crossover Trial.

Purpose: To compare patient preferences for eyeglasses prescribed using a low-cost, portable wavefront autorefractor versus standard subjective refraction (SR).

Design: Randomized, cross-over clinical trial.

Participants: Patients aged 18 to 40 years presenting with refractive errors (REs) to a tertiary eye hospital in Southern India.

Assesment of the QuickSee wavefront autorefractor for characterizing refractive errors in school-age children.

Purpose: To assess the performance of an open-view binocular handheld aberrometer (QuickSee) for diagnosing refractive errors in children.

Methods: 123 school-age children (9.9 ± 3.

Validation of an Affordable Handheld Wavefront Autorefractor.

Significance: There is a critical need for tools that increase the accessibility of eye care to address the most common cause of vision impairment: uncorrected refractive errors. This work assesses the performance of an affordable autorefractor, which could help reduce the burden of this health care problem in low-resource communities.

Purpose: The purpose of this study was to validate the commercial version of a portable wavefront autorefractor for measuring refractive errors.

H-EM: An algorithm for simultaneous cell diameter and intensity quantification in low-resolution imaging cytometry.

Fluorescent cytometry refers to the quantification of cell physical properties and surface biomarkers using fluorescently-tagged antibodies. The generally preferred techniques to perform such measurements are flow cytometry, which performs rapid single cell analysis by flowing cells one-by-one through a channel, and microscopy, which eliminates the complexity of the flow channel, offering multi-cell analysis at a lesser throughput. Low-magnification image-based cytometers, also called "cell astronomy" systems, hold promise of simultaneously achieving both instrumental simplicity and high throughput.

Quality of eyeglass prescriptions from a low-cost wavefront autorefractor evaluated in rural India: results of a 708-participant field study.

Objective: To assess the quality of eyeglass prescriptions provided by an affordable wavefront autorefractor operated by a minimally trained technician in a low-resource setting.

Methods And Analysis: 708 participants were recruited from consecutive patients registered for routine eye examinations at Aravind Eye Hospital in Madurai, India, or an affiliated rural satellite vision centre. Visual acuity (VA) and patient preference were compared between trial lenses set to two eyeglass prescriptions from (1) a novel wavefront autorefractor and (2) subjective refraction by an experienced refractionist.

Direct Characterization of Polymer Encapsulated CdSe/CdS/ZnS Quantum Dots.

Surface engineering advances of semiconductor quantum dots (QDs) have enabled their application to molecular labeling, disease diagnostics and tumor imaging. For biological applications, hydrophobic core/shell QDs are transferred into aqueous solutions through the incorporation of water-solubility imparting moieties, typically achieved via direct exchange of the native surface passivating ligands or indirectly through the adsorption of polymers. Although polymeric encapsulation has gained wide acceptance, there are few reports addressing the characterization of the adsorbed polymers and existing theoretical analyses are typically based on simple geometric models.

Design and Clinical Evaluation of a Handheld Wavefront Autorefractor.

Purpose: To introduce a novel autorefractor design that is intended to be manufacturable at low cost and evaluate its performance in measuring refractive errors.

Methods: We developed a handheld, open-view autorefractor (the "QuickSee" [QS]) that uses a simplified approach to wavefront sensing that forgoes moving parts and expensive components. Adult subjects (n = 41) were recruited to undergo noncycloplegic refraction with three methods: (1) a QS prototype, (2) a Grand Seiko WR-5100K (GS) autorefractor, and (3) subjective refraction (SR).

Addressing Key Technical Aspects of Quantum Dot Probe Preparation for Bioassays.

Fluorescent semiconductor nanoparticles, or quantum dots, have become a promising platform for the engineering of biofunctional probes for a variety of biomedical applications, ranging from multicolor imaging to single-molecule tracking to traceable drug delivery. Advances in organometallic synthesis have enabled preparation of hydrophobic quantum dots with high quantum yields and narrow size distribution, offering bright optical materials with narrow size-tunable emission profiles. At the same time, polymer encapsulation procedures provided a simple and versatile methodology for transferring hydrophobic nanoparticles into physiologically-relevant aqueous buffers.

Recovery and normalization of triple coincidences in PET.

Purpose: Triple coincidences in positron emission tomography (PET) are events in which three γ-rays are detected simultaneously. These events, though potentially useful for enhancing the sensitivity of PET scanners, are discarded or processed without special consideration in current systems, because there is not a clear criterion for assigning them to a unique line-of-response (LOR). Methods proposed for recovering such events usually rely on the use of highly specialized detection systems, hampering general adoption, and/or are based on Compton-scatter kinematics and, consequently, are limited in accuracy by the energy resolution of standard PET detectors.

Luminescent quantum dots for molecular toxicology.

Recent developments in nanotechnology have made available a host of new approaches for the improved quantitative detection of biomarkers due to the enhanced sensitivity of nanoparticle-based assays. The majority of molecular toxicology studies revolve around sensitive measurement of cell-death (apoptosis) and cell-health biomarkers present in living cells or formalin-fixed and paraffin embedded (FFPE) tissue samples. In this regard, semi-conductor quantum dots (QDs) which exhibit high brightness, photo-stability and degree of multiplexing, are predicted to have a significant impact on research in molecular toxicology.

Method for determining the elemental composition and distribution in semiconductor core-shell quantum dots.

In the biological sciences, the use of core-shell quantum dots (QDs) has gained wide usage but analytical challenges still exist for characterizing the QD structure. The application of energy-dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy (XPS) to bulk materials is relatively straightforward; however, for meaningful applications of surface science techniques to multilayer nanoparticles requires novel modifications and analysis methods. To experimentally characterize the elemental composition and distribution in CdSe/CdS/ZnS QDs, we first develop a XPS signal subtraction technique capable of separating the overlapped selenium 3s (core) and sulfur 2s (shell) peaks (both peaks have binding energies near 230 eV) with higher precision than is typically reported in the nanoparticle literature.

Monodisperse magnetic nanoparticles for biodetection, imaging, and drug delivery: a versatile and evolving technology.

Advances in nanotechnology have pushed forward the synthesis of a variety of functional nanoparticles (NPs) such as semiconductor quantum dots (QDs), magnetic and metallic NPs. The unique electronic, magnetic, and optical properties exhibited by these nanometer-sized materials have enabled a broad spectrum of biomedical applications. In particular, iron-oxide-based magnetic NPs have proved to be highly versatile deep-tissue imaging agents, having been incorporated into clinical applications due to their biocompatibility.

Quantum dot nanobarcodes: epitaxial assembly of nanoparticle-polymer complexes in homogeneous solution.

Multiplexed nanobarcodes have been prepared with quantum dots (QDs) and alternating amphiphilic copolymers consisting of hydrocarbons and maleic anhydride groups. In homogeneous solution, the QD-polymer complexes grow epitaxially into nanobeads of narrow size dispersity, which has been previously achieved only for micrometer-sized beads in the presence of solid supports. As a result of this new nanostructure formation mechanism, more than 250 QDs can be loaded into a nanobead of 100 nm in diameter.

Ultrasensitive detection and molecular imaging with magnetic nanoparticles.

Recent advances in nanotechnology have produced a variety of nanoparticles ranging from semiconductor quantum dots (QDs), magnetic nanoparticles (MNPs), metallic nanoparticles, to polymeric nanoparticles. Their unique electronic, magnetic, and optical properties have enabled a broad spectrum of biomedical applications such as ultrasensitive detection, medical imaging, and specific therapeutics. MNPs made from iron oxide, in particular, have attracted extensive interest and have already been used in clinical studies owing to their capability of deep-tissue imaging, non-immunogenesis, and low toxicity.

Quantum dots for cancer molecular imaging.

Quantum dots (QDs), tiny light-emitting particles on the nanometer scale, are emerging as a new class of fluorescent probes for biomolecular and cellular imaging. In comparison with organic dyes and fluorescent proteins, quantum dots have unique optical and electronic properties such as size-tunable light emission, improved signal brightness, resistance against photobleaching, and simultaneous excitation of multiple fluorescence colors. These properties are most promising for improving the sensitivity of molecular imaging and quantitative cellular analysis by 1-2 orders of magnitude.

Multicolor quantum dots for molecular diagnostics of cancer.

In the pursuit of sensitive and quantitative methods to detect and diagnose cancer, nanotechnology has been identified as a field of great promise. Semiconductor quantum dots are nanoparticles with intense, stable fluorescence, and could enable the detection of tens to hundreds of cancer biomarkers in blood assays, on cancer tissue biopsies, or as contrast agents for medical imaging. With the emergence of gene and protein profiling and microarray technology, high-throughput screening of biomarkers has generated databases of genomic and expression data for certain cancer types, and has identified new cancer-specific markers.