Assessment of intraocular lens/capsular bag biomechanical interactions following cataract surgery in a human in vitro graded culture capsular bag model

Intraocular lenses (IOLs) are implanted during cataract surgery. For optimum results, stable positioning of the IOL in the capsular bag is important. Wound-healing events following cataract surgery lead to modification of the capsular bag and secondary visual loss due to posterior capsule opacification. At present, it is unclear how these biological events can affect stability of the IOL within the capsular bag. In the present study, a human in vitro graded culture capsular bag model was the experimental system. Capsulorhexis and lens extraction performed on human donor eyes generated suspended capsular bags (5 match-paired experiments). Preparations were secured by pinning the ciliary body to a silicone ring and maintained in 6 mL of medium for 84 days using a graded culture system: days 1–3, 5% human serum and 10 ng/mL transforming growth factor β (TGFβ2); days 4–7, 2% human serum and 1 ng/mL TGFβ2; days 8–14, 1% human serum and 0.1 ng/mL TGFβ2; days 15–84, serum-free Eagle's minimum essential medium (EMEM). A CT LUCIA 611PY IOL was implanted in all preparations. Quantitative measures were determined from whole bag images captured weekly. Images were registered using FIJI and analysed in ImageJ to determine capsular bag area; distortion; angle of contact; haptic stability; capsulorhexis area; and a fusion footprint associated with connection between the anterior and posterior capsules. Cell coverage and light scatter were quantified at end-point. The transdifferentiation marker, α-SMA was assessed by immunocytochemistry. Immediately following surgery, distortion of the capsular bag was evident, such that a long axis is generated between haptics relative to the non-haptic regions (short axis). The angle of contact between the haptics and the peripheral bag appeared inversely correlated to capsular bag area. Growth on the peripheral posterior capsule was observed 1 week after surgery and beneath the IOL within 1 month. As coverage of the posterior capsule progressed this was associated with matrix contraction/wrinkles of both the central posterior capsule and peripheral capsular bag. Cells on the central posterior capsule expressed αSMA. Fusion footprints formed in non-haptic regions of the peripheral bag and progressively increased over the culture period. Within and at the edge of the fusion footprint, refractive structures resembling lens fibre cells and Elschnig's pearls were observed. Cell attachment to the IOL was limited. An impression in the posterior capsule associated with the CT LUCIA 611PY optic edge was evident; cell density was much greater peripheral to this indent. Wound-healing events following surgery reduced capsular bag area. This was associated with the long/short axis ratio and angle of contact increasing with time. In summary, we have developed a human capsular bag model that exhibits features of fibrotic and regenerative PCO. The model permits biomechanical information to be obtained that enables better understanding of IOL characteristics in a clinically relevant biological system. Throughout culture the CT LUCIA 611PY appeared stable in its position and capsular bag modifications did not change this. We propose that the CT LUCIA 611PY optic edge shows an enhanced barrier function, which is likely to provide better PCO management in patients

Elgin on understanding:How does it involve know-how, endorsement and factivity?

In Chapter 3 of True Enough, Elgin (2017) outlines her view of objectual understanding, focusing largely on its non-factive nature and the extent to which a certain kind of know-how is required for the “grasping” component of understanding. I will explore four central issues that feature in this chapter, concentrating on (1) the role of know-how, (2) the concept of endorsement, (3) Elgin’s critique of the factivity constraint on understanding, and (4) how we might use aspects of Elgin’s framework to inform related debates on the norm of assertion

A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases

Satellite observations of dry-column methane mixing ratios (XCH4) from shortwave infrared (SWIR) solar backscatter radiation provide a powerful resource to quantify methane emissions in service of climate action. The TROPOspheric Monitoring Instrument (TROPOMI), launched in October 2017, provides global daily coverage at a 5.5 × 7 km2 (nadir) pixel resolution, but its methane retrievals can suffer from biases associated with SWIR surface albedo, scattering from aerosols and cirrus clouds, and across-track variability (striping). The Greenhouse gases Observing SATellite (GOSAT) instrument, launched in 2009, has better spectral characteristics and its methane retrieval is much less subject to biases, but its data density is 250 times sparser than TROPOMI. Here, we present a blended TROPOMI+GOSAT methane product obtained by training a machine learning (ML) model to predict the difference between TROPOMI and GOSAT co-located measurements, using only predictor variables included in the TROPOMI retrieval, and then applying the correction to the complete TROPOMI record from April 2018 to present. We find that the largest corrections are associated with coarse aerosol particles, high SWIR surface albedo, and across-track pixel index. Our blended product corrects a systematic difference between TROPOMI and GOSAT over water, and it features corrections exceeding 10 ppb over arid land, persistently cloudy regions, and high northern latitudes. It reduces the TROPOMI spatially variable bias over land (referenced to GOSAT data) from 14.3 to 10.4 ppb at a 0.25∘ × 0.3125∘ resolution. Validation with Total Carbon Column Observing Network (TCCON) ground-based column measurements shows reductions in variable bias compared with the original TROPOMI data from 4.7 to 4.4 ppb and in single-retrieval precision from 14.5 to 11.9 ppb. TCCON data are all in locations with a SWIR surface albedo below 0.4 (where TROPOMI biases tend to be relatively low), but they confirm the dependence of TROPOMI biases on SWIR surface albedo and coarse aerosol particles, as well as the reduction of these biases in the blended product. Fine-scale inspection of the Arabian Peninsula shows that a number of hotspots in the original TROPOMI data are removed as artifacts in the blended product. The blended product also corrects striping and aerosol/cloud biases in single-orbit TROPOMI data, enabling better detection and quantification of ultra-emitters. Residual coastal biases can be removed by applying additional filters. The ML method presented here can be applied more generally to validate and correct data from any new satellite instrument by reference to a more established instrument.</p

Consensus Paper: Radiological Biomarkers of Cerebellar Diseases

Hereditary and sporadic cerebellar ataxias represent a vast and still growing group of diseases whose diagnosis and differentiation cannot only rely on clinical evaluation. Brain imaging including magnetic resonance (MR) and nuclear medicine techniques allows for characterization of structural and functional abnormalities underlying symptomatic ataxias. These methods thus constitute a potential source of radiological biomarkers, which could be used to identify these diseases and differentiate subgroups of them, and to assess their severity and their evolution. Such biomarkers mainly comprise qualitative and quantitative data obtained from MR including proton spectroscopy, diffusion imaging, tractography, voxel-based morphometry, functional imaging during task execution or in a resting state, and from SPETC and PET with several radiotracers. In the current article, we aim to illustrate briefly some applications of these neuroimaging tools to evaluation of cerebellar disorders such as inherited cerebellar ataxia, fetal developmental malformations, and immune-mediated cerebellar diseases and of neurodegenerative or early-developing diseases, such as dementia and autism in which cerebellar involvement is an emerging feature. Although these radiological biomarkers appear promising and helpful to better understand ataxia-related anatomical and physiological impairments, to date, very few of them have turned out to be specific for a given ataxia with atrophy of the cerebellar system being the main and the most usual alteration being observed. Consequently, much remains to be done to establish sensitivity, specificity, and reproducibility of available MR and nuclear medicine features as diagnostic, progression and surrogate biomarkers in clinical routine

Spreading the Credit: Virtue Reliabilism and Weak Epistemic Anti-Individualism

Mainstream epistemologists have recently made a few isolated attempts to demonstrate the particular ways, in which specific types of knowledge are partly social. Two promising cases in point are Lackey’s (Learning from words: testimony as a source of knowledge. Oxford University Press, Oxford, 2008) dualism in the epistemology of testimony and Goldberg’s (Relying on others: an essay in epistemology. Oxford University Press, Oxford, 2010) process reliabilist treatment of testimonial and coverage-support justification. What seems to be missing from the literature, however, is a general approach to knowledge that could reveal the partly social nature of the latter anytime this may be the case. Indicatively, even though Lackey (Synthese 158(3):345–361, 2007) has recently launched an attack against the Credit Account of Knowledge (CAK) on the basis of testimony, she has not classified her view of testimonial knowledge into any of the alternative, general approaches to knowledge. Similarly, even if Goldberg’s attempt to provide a process reliabilist explanation of the social nature of testimonial knowledge is deemed satisfactory, his attempt to do the same in the case of coverage-support justification does not deliver the requisite result. This paper demonstrates that CAK can in fact provide, pace Lackey’s renunciation of the view, a promising account of the social nature of both testimonial and coverage-supported knowledge. Additionally, however, it can display further explanatory power by also revealing the social nature of knowledge produced on the basis of epistemic artifacts. Despite their disparities, all these types of knowledge count as partly social in nature, because in all these cases, according to CAK, the epistemic credit for the individual agent’s true belief must spread between the individual agent and certain parts of her epistemic community. Accordingly, CAK is a promising candidate for providing a unified approach to several and, perhaps all possible, instances of what we may call ‘weak epistemic anti-individualism’ within mainstream epistemology: i.e., the claim that the nature of knowledge can occasionally be both social and individual at the same time

The genealogical method in epistemology

In 1990 Edward Craig published a book called Knowledge and the State of Nature in which he introduced and defended a genealogical approach to epistemology. In recent years Craig’s book has attracted a lot of attention, and his distinctive approach has been put to a wide range of uses including anti-realist metaepistemology, contextualism, relativism, anti-luck virtue epistemology, epistemic injustice, value of knowledge, pragmatism and virtue epistemology. While the number of objections to Craig’s approach has accumulated, there has been no sustained attempt to develop answers to these objections. In this paper we provide answers to seven important objections in the literature