In this report I present a feasibility study of using open astronomical data to make Initial Orbit Determination (IOD) for Resident Space Objects (RSO) appearing as streaks in telescope images. The purpose is to contribute to Space Surveillance and Tracking (SST) for maintaining Space Situation Awareness (SSA). Data from different wide-field survey telescopes were considered but due to availability constraints only mask images from Zwicky Transient Facility (ZTF) survey were chosen for the analysis. An algorithm was developed to detect streaks in the mask images and match them to RSO known to be within the Field of View (FoV) at the observation time. Further, the IOD was made with angles-only Laplace’s method and the state vectors calculated for the streaks from the IOD were compared to those from the TLE for the matching RSO. The algorithm was tested with 6 different image fields acquired between the 14th to the 16th December 2019, of which 4 are characterised as non-crowded and 2 as crowded. The streak finding algorithm has a better precision and sensitivity for the non-crowded field, with an F1-score of 0.65, but is worse for the crowded fields with an F1-score of 0.035. In the non-crowded fields 95% of all streak and object matches are true matches to unique RSO, while for the crowded field only 10% are true matches. It was found that the 1''/pixel resolution in the images is too low for doing an IOD with Laplace’s method, despite how well the streak finding algorithm performs. However, with some improvements, the method is suitable as a cost effective way to verify known RSO in catalogues. / I den här rapporten presenterar jag en studie om att använda öppen astronomiska data för att göra initial banbestämning för artificiella rymdobjekt avbildade som streck i teleskopbilder. Syftet är att tillhandahålla information för att upprätthålla en god rymdlägesbild. Data från olika kartläggnings teleskop övervägdes men på grund av begränsningar i tillgänglighet valdes endast mask-bilderna från Zwicky Transient Facility för analysen. En algoritm utvecklades för att upptäcka streck i mask-bilderna och matcha dem med kända objekt i bildens synfält vid observationstillfället. Vidare gjordes den initiala banbestämningen med Laplaces metod, som använder vinkelkoordinaterna för streckens position vid observationen. Tillståndsvektorerna för strecken och de matchade objekten jämfördes, de beräknades från den initiala banbestämningen respektive objektets TLE. Algoritmen testades med 6 olika bildfält från observationsdatum mellan den 14:e till den 16:e december 2019, av dessa karakteriseras 4 som glesa och 2 som fyllda. Algoritmen för streck detektering har bättre precision och känslighet för de glesa fälten, med ett F1-värde på 0.65, men sämre för de fulla fälten med ett F1-värde på 0.035. I de glesa fälten är 95% av alla streck- och objektmatchningar korrekta matchningar med unika objekt, medan för det fulla fälten är endast 10% korrekta matchningar. Det visar sig att upplösningen på 1''/pixel i bilderna är för låg för att göra en initial banbestämning med Laplaces metod, oavsett hur bra algoritmen för streck detektering presterar. Genom att göra vissa förbättringar i algoritmen är metoden lämplig för att, på ett kostnadseffektivt sätt, verifiera kända objekt i kataloger.

Prenatal assessment of fetal health is routinely offered throughout pregnancy to ensure that the most effective management can be provided to maintain fetal and maternal well-being. Currently, invasive testing is used for definitive diagnosis of fetal aneuploidy, which is associated with a 1% risk of iatrogenic fetal loss. Developing non-invasive prenatal testing (NIPT) is a key area of research and methods to increase the level of cell-free fetal DNA (cffDNA) within the maternal circulation have been discussed to improve accuracy of such tests. In this study, three strategies; co-amplification at lower denaturation temperature polymerase chain reaction (COLD-PCR), inverse-PCR and Pippin Prep™ gel electrophoresis, were analysed to identify a novel approach to selectively enrich shorter cffDNA fragments from larger maternal cell-free DNA (cfDNA). The sensitivity of droplet digital PCR (ddPCR) against real-time PCR (qPCR) was compared for fetal sex and RHD genotyping. In addition RHD zygosity testing was carried out for non-maternal samples. Consequently, Pippin Prep™ gel electrophoresis was combined with ddPCR analysis for the NIPD of Down Syndrome (DS) in pseudo-maternal samples. The results revealed that the Pippin Prep™ gel electrophoresis enrichment approach successfully demonstrated 2-fold to 5-fold increases in the cffDNA fraction. However, further optimisation assays of COLD-PCR and inverse-PCR using actual maternal samples were required. The spike experiments for DS detection revealed that with the present assay IV overrepresentation of the chromosome 21 target could be significantly detected for samples with ≥15% ‘cffDNA fraction’. In conjunction with the Pippin Prep™ enrichment method, this would have enabled assessment of all 10 maternal samples. Alternatively, fetal sex and RHD genotyping results determined that ddPCR provides a more sensitive platform compared to qPCR approaches, particularly for samples that express low cffDNA fractions (<2%). The ddPCR platform also proved to be a rapid and accurate system for the determination of RHD zygosity. This study highlights that ddPCR could be used as opposed to qPCR for accurate determination of fetal sex and RHD status. While sequencing approaches currently provide the most sensitive platforms for NIPT of fetal aneuploidy, high costs (>£400) prevent universal application. The combination of cffDNA enrichment with ddPCR analysis could provide a cheaper and more widely available platform for NIPD. However, further large scale validation studies using actual maternal samples are required.