Integration of highly-refractive spheres in microfluidic chips for high-contrast detection of bacteria with low-magnification systems

Author(s):  
Daniel Migliozzi ◽  
Vittorio Viri ◽  
M. A. M. Gijs
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Richard B. Banati ◽  
Paul Wilcox ◽  
Ran Xu ◽  
Grace Yin ◽  
Emily Si ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


2020 ◽  
Vol 636 ◽  
pp. A72
Author(s):  
Frantz Martinache ◽  
Alban Ceau ◽  
Romain Laugier ◽  
Jens Kammerer ◽  
Mamadou N’Diaye ◽  
...  

Context. Kernel phase is a data analysis method based on a generalization of the notion of closure phase, which was invented in the context of interferometry, but it applies to well corrected diffraction dominated images produced by an arbitrary aperture. The linear model upon which it relies theoretically leads to the formation of observable quantities robust against residual aberrations. Aims. In practice, the detection limits that have been reported thus far seem to be dominated by systematic errors induced by calibration biases that were not sufficiently filtered out by the kernel projection operator. This paper focuses on the impact the initial modeling of the aperture has on these errors and introduces a strategy to mitigate them, using a more accurate aperture transmission model. Methods. The paper first uses idealized monochromatic simulations of a nontrivial aperture to illustrate the impact modeling choices have on calibration errors. It then applies the outlined prescription to two distinct data sets of images whose analysis has previously been published. Results. The use of a transmission model to describe the aperture results is a significant improvement over the previous type of analysis. The thus reprocessed data sets generally lead to more accurate results, which are less affected by systematic errors. Conclusions. As kernel-phase observing programs are becoming more ambitious, accuracy in the aperture description is becoming paramount to avoid situations where contrast detection limits are dominated by systematic errors. The prescriptions outlined in this paper will benefit from any attempt at exploiting kernel phase for high-contrast detection.


2018 ◽  
Vol 6 (21) ◽  
pp. 1800582 ◽  
Author(s):  
Jeeyoon Jeong ◽  
Hyeong Seok Yun ◽  
Dasom Kim ◽  
Kang Sup Lee ◽  
Han-Kyu Choi ◽  
...  

Perception ◽  
1996 ◽  
Vol 25 (1_suppl) ◽  
pp. 155-155
Author(s):  
Y Tanaka ◽  
D Sagi

Contrast detection threshold of a Gabor signal (GS) is enhanced in the presence of high contrast GS flankers. Repetitive performance of the task induces contrast sensitivity changes on different time scales: minutes when using mental imagery, and weeks in the context of perceptual learning. We tested the time course of lateral enhancement within a single trial, using a forward masking technique. Contrast detection thresholds were measured (2AFC) for a foveal GS target presented briefly (32 ms) preceded by a presentation (80 ms) of two high-contrast GS flankers, with stimulus onset asynchrony (SOA) varying from 0 to 3600 ms. Using target-to-mask separation of 3\lambda and 12\lambda (\lambda =18°, GS wavelength), we found that the 3\lambda separation GS flankers decreased target threshold by 0.25 log units at SOA=0 and by 0.17 log units at 3600 ms. At 12\lambda separation, threshold decreased by 0.11 log units at SOA=0 and by 0.14 log units at 3600 ms. Long-term and short-term enhancements showed similar dependence on stimulus configuration (maximal for collinear target and masks) and local parameters (orientation and spatial frequency differences between target and flankers). The results imply that spatial filters in early vision retain an input trace for as long as a few seconds (up to 14.4 seconds tested). This trace may subserve the consolidation of filter activity into long-term memory.


2018 ◽  
Vol 14 (6) ◽  
pp. 871-876 ◽  
Author(s):  
Heqi Gao ◽  
Pingping Bao ◽  
Shuxin Dai ◽  
Ruihua Liu ◽  
Shenglu Ji ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
L. Battaglini ◽  
G. Contemori ◽  
A. Fertonani ◽  
C. Miniussi ◽  
A. Coccaro ◽  
...  

AbstractContrast sensitivity for a Gabor signal is affected by collinear high-contrast Gabor flankers. The flankers reduce (inhibitory effect) or increase (facilitatory effect) sensitivity, at short (2λ) and intermediate (6λ) target-to-flanker separation respectively. We investigated whether these inhibitory/facilitatory sensitivity effects are modulated by transcranial random noise stimulation (tRNS) applied to the occipital and frontal cortex of human observers during task performance. Signal detection theory was used to measure sensitivity (d’) and the Criterion (C) in a contrast detection task, performed with sham or tRNS applied over the occipital or the frontal cortex. After occipital stimulation results show a tRNS-dependent increased sensitivity for the single Gabor signal of low but not high contrast. Moreover, results suggest a dissociation of the tRNS effect when the Gabor signal is presented with the flankers, consisting in a general increased sensitivity at 2λ where the flankers had an inhibitory effect (reduction of inhibition) and a decreased sensitivity at 6λ where the flankers had a facilitatory effect on the Gabor signal (reduction of facilitation). After a frontal stimulation, no specific effect of the tRNS was found. We account for these complex interactions between tRNS and flankers by assuming that tRNS not only enhances feedforward input from the Gabor signal to the cortex, but also enhances the excitatory or inhibitory lateral intracortical input from the flankers. The boosted lateral input depends on the excitation-inhibition (E/I) ratio, namely when the lateral input is weak, it is boosted by tRNS with consequent modification of the contrast-dependent E/I ratio.


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