The larger “suspended” stirrers are ideal for slurries, typically in vessels above 75 ml when used with the PolyBLOCK 4, featuring stronger magnets and motors. Traditional stirring with magnetic bars (fleas) is possible in all PolyBLOCKs, mainly when small vessels or vials are used. Additionally, it is possible to stir with overhead motors for more demanding applications. – Measurements can be made in both clear and dark / coloured solutions – without any alteration in set-up Agitation Independent stirring, measured and controlledĪll PolyBLOCKs are fitted with individual magnets and stirrer motors under each zone, for independent magnetic agitation. – Innovative stirrer design to prevent crystal damage – Interchangeable sample sizes, from 2 ml to 500 ml
– 4 sample version optional (up to 500 ml) – Obtain accurate solubility and MSZW data This combination of high throughput, coupled with high data content, accelerates the development and optimization of the desired crystallization process and shortens time to commercialization. While the former provides the basis for optimizing the desired crystallization process, the latter provides insights into the behavior of the process on larger scales, informing and facilitating process development. Consequently, data on the points of dissolution and the points of nucleation can be determined automatically under a range of experimental conditions, enabling solubility curves to be generated and the characterization of MSZW, respectively. In addition to automated stirring, heating, and cooling of each sample, the CrystalSCAN can automatically add solvent/anti-solvent of choice, diluting each sample independently at the end of each cycle. The standard system supports 8, independently controlled reactors, each equipped with H.E.L’s proprietary crystallization monitoring probe, CrystalEYES. Accordingly, a more peripheral thinner point than the identified thinnest point is a very strong indication for PMD.The CrystalSCAN is a bench-top, automated, parallel crystallization monitoring platform, facilitating determination of solubility curves and the MSZW (metastable zone width) of multiple samples, and optimization of the desired crystallization process. In KC-ARA eyes, a thinner location than the automatically found thinnest point does not exist. In the KC group, no patients had thinner locations than the automatically identified thinnest points on the pachymetric maps and the Scheimpflug images.Ī more peripheral thinner location than the automatically identified thinnest location exists in most of the eyes with PMD. In 9 (31.0%) eyes of these 22, the manually identified thinnest locations were visible on pachymetric maps, and in 13 (44.8%) eyes the more peripheral thinnest locations were not visible on pachymetric maps but on Scheimpflug images.
#Pellucid crystal scans manual#
In the PMD group, 7 (24.1%) eyes did not have any thinner location than the automatically identified thinnest location on the pachymetric maps and the Scheimpflug images, and in 22 (75.8%) eyes, a thinner location, which was located more peripherally, was found by manual evaluation of the pachymetric maps or Scheimpflug images. The coordinates and thickness of this manually identified location were evaluated. By moving the cursor manually, the pachymetric maps and Scheimpflug images were searched for a thinner location than the automatically identified thinnest location. The patients were divided into two groups: the PMD group (29 eyes of 18 patients) and the KC-ARA group (31 eyes of 22 patients). Patients with ARA, a butterfly or crab claw pattern in the curvature maps, a kissing bird pattern in the elevation maps and the bell sign in the pachymetric maps were identified, and 60 eyes of 40 patients were chosen for the evaluation. Ophthalmology Clinic, Ministry of Health Ankara Training and Research Hospital, Ankara, Turkey. To determine and compare various quantitative parameters of pellucid marginal degeneration (PMD) and keratoconus with against-the-rule astigmatism (KC-ARA) obtained by elevation-based Scheimpflug imaging and to identify characteristics that can be used to discriminate PMD from KC-ARA.
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