Hyperspectral imaging (HSI) is increasingly gaining acceptance in the medical field. Up until now, HSI has been used conjunction with rigid endoscopy to detect cancer vivo. The logical next step pair flexible endoscopy, since it improves access hard-to-reach areas. While endoscope's fiber optic cables provide advantage of flexibility, they also introduce an interfering honeycomb-like pattern onto images. Due substantial impact this on locating cancerous tissue, must be removed before HS data...

Hyperspectral imaging (HSI) is a technology with high potential in the field of non-invasive detection cancer. However, complex situations like HSI larynx rigid endoscope, various image interferences can disable proper classification cancerous tissue. We identified three main problems: i) misregistration single images HS cube due to patient heartbeat ii) noise and iii) specular reflections (SR). Consequently, an pre-processor developed current paper overcome these interferences. It...

Currently, there are no fast and accurate screening methods available for head neck cancer, the eighth most common tumor entity. For this study, we used hyperspectral imaging, an imaging technique quantitative objective surface analysis, combined with deep learning automated tissue classification. As part of a prospective clinical observational datasets laryngeal, hypopharyngeal oropharyngeal mucosa were recorded in 98 patients before surgery vivo. We established data interpretation pathway...

Abstract Aim Slide‐based cytometry (SBC) allows to “ask a cell second time.” We used this tool for detailed immunophenotyping of peripheral blood leukocytes (PBLs). Methods PBLs primarily stained CD‐markers and DNA were immobilized on glass slide analyzed by laser scanning cytometry. Then, iterative restaining was applied third analysis. Based the cells' fixed location, analyses merged single‐cell level. Results six virtual immunostainings “recycling” PE‐channel four CD‐markers. Conclusion...

Abstract The aim of this study was to proof applicability hyperspectral imaging for the analysis and classification human mucosal surfaces in vivo. larynx as a prototypical anatomically well‐defined surgical test area analyzed by microlaryngoscopy with polychromatic lightsource synchronous triggered monochromatic CCD‐camera. Image stacks (5 benign, 7 malignant tumors) were established software (principal component PCA, classification, spectral profiles). Hyperspectral image datacubes...

To adequately analyze the complexity of immune system and reduce required sample volume for immunophenotyping in general, more measurable colors discrimination leukocyte subsets are necessary. Immunophenotyping by laser scanning cytometer (LSC), a slide-based cytometric technology, combines cell detection based on multiple with their subsequent visualization without need physical sorting. In present study, filter setting LSC was adapted measurement far-red emitting dye cyanine 7 (Cy7),...

Early detection of head and neck tumors is crucial for patient survival. Often, diagnoses are made based on endoscopic examination the larynx followed by biopsy histological analysis, leading to a high interobserver variability due subjective assessment. In this regard, early non-invasive diagnostics independent clinician would be valuable tool. A recent study has shown that hyperspectral imaging (HSI) can used tumors, as precancerous or cancerous lesions show specific spectral signatures...

Background: The increasing diversity in therapeutic strategies head and neck oncology is dependent on the development of equally appropriate diagnostic tools. A growing number procedures intended to be performed an out-patient basis. In this context, analyses hypocellular specimens such as fine-needle aspirate biopsies (FNABs) or swabs are very important: There minimal side-effects, they can analysed within hours. Material Methods: Laser scanning microscopy (LSC) a microscope-based method...

Biopsy and histological examination of persistently enlarged cervical lymph nodes represent a major health care issue have high impact on further clinical therapy. Tertiary centers are faced with an increased demand for diagnostic workup to rule out malignancy. We performed retrospective study from January 2000 June 2008 identify patients referred us biopsy document the histopathological result.Patients biopsy, but neither signs head neck cancer nor other malignancies, were identified within...

Differential immunophenotyping is essential for diagnosis and follow-up. Routine analysis requires a minimum of 250 γl blood, neither detailed immunophenosubtyping nor absolute cell count are available. We present two concepts using slide-based cytometry in order to break these limitations. Materials Methods: 10 EDTA blood were stained with DRAQ5 either CD3-PE, CD4-Alexa Fluor 488 CD8-PE-Cy5 or CD45-FITC CD14-PE. A 'no-lyse-no-wash' versus 'lyse-no-wash' method (Quicklysis) was performed. 20...

The request for a more profound immunophenotyping and sometimes the lack of material demands measurable fluorescence colors to increase number detectable antigens per specimen. Six different fluorescences are distinguishable in Laser Scanning Cytometer (LSC). In present study we wanted this eight measurement. Combined with an earlier it is likely possible measure n i.e. leukocyte subsets by series measurements followed subsequent restraining steps. new method realized s-ing combination...

LSC is a microscope-based technology. The principle of the instrument that any specimen immobilized on microscope slide. Therefore cells are not lost in fluid stream but kept slide and minimal specimens as low 1.000 can be analyzed. Additionally available for further analyses such staining another set specific markers re-analysis or cytological (H&E). This approach multiplies information gained from given sample. We have established an assay immunophenotyping peripheral blood leukocytes by...

Here we present a study where used in vivo hyperspectral imaging (HSI) for the detection of upper aerodigestive tract (UADT) cancer. Hyperspectral datasets were recorded 100 patients before surgery vivo. We established an automated data interpretation pathway that can classify tissue into healthy and tumorous using, different deep learning techniques. Our method is based on convolutional neural networks (CNNs) with 2D spatial or 3D spatio-spectral convolutions combined state-of-the-art...

Myocardial infarction (MI) is an acute life-threatening disease with a high incidence worldwide. Aim of this study was to test lectin-carbohydrate binding-induced red blood cell (RBC) agglutination as innovative tool for fast, precise and cost effective diagnosis MI. Five lectins (Ricinus communis agglutinin (RCA), Phaseolus vulgaris erythroagglutinin (PHA), Datura stramonium (DSA), Artocarpus (ArA), Triticum (TA)) were tested ability differentiate between characteristics in patients MI (n =...