Paper Feature Extraction from Digital Images

Digital archives are very useful to readers. However, they do not give enough information, such as paper, ink, and pigment, to satisfy researchers of materials and conservators of the documents. In this research, we describe paper feature extraction, such as laid and chain line pattern, watermark, syanome pattern, and itame pattern from digital images of paper

Identification of traditional East Asian handmade papers through multivariate data analysis of pyrolysis-GC/MS data

International audienceAn analytical approach based on the multivariate analysis of on-line pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) data is proposed for the identification of traditional East Asian handmade papers from different fiber material origins. This approach utilized several biomarkers detected during Py-GC/MS analysis of the paper samples. At first, the total ion chromatogram (TIC) was taken as the response and then the extracted ion chromatograms (EICs) were considered to improve the discrimination of papers. The influence of different data pretreatment (raw responses vs normalized values) including different weighting of the variables (weighting as 1 vs weight as 1/STD, where STD stands for standard deviation) for principal component analysis was also investigated. The results showed that compared to the commonly used microscopy techniques, the Py-GC/MS technique proved to be able to discriminate against handmade paper materials that have similar microscopic morphologies such as Morus species vs. Broussonetia species. The data pretreatment influenced the PCA modeling: the analysis based on normalized values showed more interpretable PCA group features for Moraceae species. PCA without weighting resulted unsurprisingly in discrimination through the presence of high intensity response biomarkers, while when applying weight as 1/STD, PCA loading plot was shown to provide a group of compounds, most of them being present at low levels, to be discriminating. Additionally, the characteristic EICs can provide data matrix for statistical analysis avoiding the interference from co-eluting compound and background compared to the data matrix obtained from the TIC. As a result, a quick Py-GC/MS based handmade paper identification procedure using PCA modeling of characteristic EICs was for the first time proposed in the identification of traditional East Asian handmade papers. This procedure could be very beneficial in cultural heritage applications

A case of primary thoracic hemangiopericytoma: correlation between Ga-67 scintigraphic and pathological findings

A 27-year-old male was admitted to our hospital with the chief complaint of dyspnea. Radiologically, he was found to have a large tumor shadow in the left hemithorax with pleural effusion. The first thoracotomy was done to resect the tumor on January 14, 1988. The second and third thoracotomies were done because of local recurrence in the left hemithorax. Histological diagnosis was of a hmangio-pericytoma. Before the third operation, Ga-67 scintigraphy was performed. Ga-67 accumulation was noted in parts of the tumor mass. Histological findings of the resected tumor were compared with the degree and location of Ga-67 accumulation. Histologically, Ga-67 accumulation occurred in areas of bleeding and necrosis in the tumor tissue, but not in viable parts of the tumor. Ga-67 accumulation usually occurs in viable tumor cells, but our findings were contrary to this generality