Visual performance on detection tasks with double-targets of the same and different difficulty

High-quality lighting positively influences visual performance in humans. The experienced visual performance can be measured using desktop luminance and hence several lighting control systems have been developed for its quantification. However, the measurement devices that are used to monitor the desktop luminance in existing lighting control systems are obtrusive to the users. As an alternative, ceiling-based luminance projection sensors are being used recently as these are unobtrusive and can capture the direct task area of a user. The positioning of these devices on the ceiling requires to estimate the desktop luminance in the user's vertical visual field, solely using ceiling-based measurements, to better predict the experienced visual performance of the user. For this purpose, we present LUMNET, an approach for estimating desktop luminance with deep models through utilizing supervised and self-supervised learning. Our model learns visual representations from ceiling-based images, which are collected in indoor spaces within the physical vicinity of the user to predict average desktop luminance as experienced in a real-life setting. We also propose a self-supervised contrastive method for pre-training LUMNET with unlabeled data and we demonstrate that the learned features are transferable onto a small labeled dataset which minimizes the requirement of costly data annotations. Likewise, we perform experiments on domain-specific datasets and show that our approach significantly improves over the baseline results from prior methods in estimating luminance, particularly in the low-data regime. LUMNET is an important step towards learning-based technique for luminance estimation and can be used for adaptive lighting control directly on-device thanks to its minimal computational footprint with an added benefit of preserving user's privacy.

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Chemoselective ligation assisted DNA walker for analysis of double targets

Colloids and Surfaces B Biointerfaces ◽

10.1016/j.colsurfb.2021.111620 ◽

2021 ◽

Vol 201 ◽

pp. 111620

Author(s):

Tianxiang Xue ◽

Longfei Tang ◽

Xiquan Yue ◽

Lili Niu ◽

Jinhui Peng ◽

...

Keyword(s):

Chemoselective Ligation ◽

Dna Walker ◽

Double Targets

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Comparison of the visual performance of iris-fixated phakic lens and implantable collamer lens to correct high myopia

BMC Ophthalmology ◽

10.1186/s12886-021-01995-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xiao-ling Jiao ◽

Jun Li ◽

Zhe Yu ◽

Ping-hui Wei ◽

Hui Song

Keyword(s):

Visual Acuity ◽

High Myopia ◽

Optical Quality ◽

Visual Performance ◽

Quality Analysis ◽

Modulation Transfer ◽

Implantable Collamer Lens ◽

Good Visual Acuity ◽

Significant Difference ◽

Group 6

Abstract Background To compare visual performance between the iris-fixated phakic intraocular len (pIOL) and implantable collamer len (ICL) to correct high myopia. Methods Twenty-four eyes underwent iris-fixated pIOL implantation and 24 eyes underwent ICL implantation. At the 6-month follow-up, the best-corrected visual acuity (BCVA) and uncorrected distance visual acuity (UDVA) were compared between the iris-fixated pIOL and ICL groups. The objective scatter index (OSI), modulation transfer function (MTF) cutoff, and ocular aberrations were performed to evaluate postoperative visual quality between the two groups. Results No significant difference was found in UDVA, BCVA, and spherical equivalent between the iris-fixated pIOL and ICL groups (P > 0.05). Six months after surgery, the following values were significantly higher in the ICL group than in the iris-fixated pIOL group: MTF cutoff, strehl ratio and optical quality analysis system values at contrasts of 9 %, 20 %, and 100 % (P < 0.01). The OSI in the iris-fixated pIOL group was higher than in the ICL group 6 months after surgery (P < 0.01). All high-order aberrations were slightly more severe in the iris-fixated pIOL group than in the ICL group 6 months after surgery, although only trefoil (P = 0.023) differed significantly in this regard. Conclusions Both iris-fixated lenses and ICLs can provide good visual acuity. ICLs confer better visual performance in MTF-associated parameters and induce less intraocular light scattering than iris-fixated pIOLs.

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