Natallia Uzunbajakava

Dr. Natallia Uzunbajakava


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2003 in Biophysical Journal
Verified
Journal Article
Closed access
NUNatallia Uzunbajakava
Natallia Uzunbajakava
ALA. Lenferink
A. Lenferink
YKY. Kraan
Y. Kraan
EVElena Volokhina
Elena Volokhina
GVG. Vrensen
G. Vrensen
COC. Otto
C. Otto

27 September 2002 in Biopolymers
Verified
Journal Article
Open access
PDF file
NUNatallia Uzunbajakava
Natallia Uzunbajakava
ALA. Lenferink
A. Lenferink
YKY. Kraan
Y. Kraan
BWB. Willekens
B. Willekens
GVG. Vrensen
G. Vrensen
COC. Otto
C. Otto
A confocal Raman microscope is used to study the protein distribution inside biological cells. It is shown that high quality Raman imaging of the protein distribution can be obtained using confocal nonresonant Raman imaging (λexc = 647.1 nm). The results are shown for two different human cell types. Perpheral blood lymphocytes are used as an example of the fully maturated cells with a low level of nuclear transcription. Human eye lens epithelial cells are used as an example of cells with a high level of nuclear activity. The protein distribution in both cell types is completely different. The nuclear distribution of the protein largely varies in the peripheral blood lymphocyte cells, while proteins are more homogenously distributed over the nuclear space in the eye lens epithelial cells. The imaging time is ∼20 min for a field of view of 10 × 10 μm2. The size of the sampling volume is 1.4 fL using a full width at half‐maximum criterion along the z axis and a 1/e2 criterion in the xy plane. The results presented here indicate that Raman imaging is particularly of interest in the study of cellular processes, like phagocytosis, apoptosis, chromatin compaction, and cellular differentiation, which are accompanied by relatively large‐scale redistributions of the materials. © 2002 Wiley Periodicals, Inc. Biopolymers (Biospectroscopy) 72: 1–9, 2003

20 February 2009 in IEEE Journal of Selected Topics in Signal Processing
Verified
Journal Article
Closed access
JAJose Fernandez Alcon
Jose Fernandez Alcon
CCCalina Ciuhu
Calina Ciuhu
WKWarner Ten Kate
Warner Ten Kate
AHAdrienne Heinrich
Adrienne Heinrich
NUNatallia Uzunbajakava
Natallia Uzunbajakava
GHGerard de Haan
Gerard de Haan
In this paper, we describe an automatic system for inspection of pigmented skin lesions and melanoma diagnosis, which supports images of skin lesions acquired using a conventional (consumer level) digital camera. More importantly, our system includes a decision support component, which combines the outcome of the image classification with context knowledge such as skin type, age, gender, and affected body part. This allows the estimation of the personal risk of melanoma, so as to add confidence to the classification. We found that our system classified images with an accuracy of 86%, with a sensitivity of 94%, and specificity of 68%. The addition of context knowledge was indeed able to point to images that were erroneously classified as benign, albeit not to all of them.

31 August 2018 in Lasers in Surgery and Medicine
Verified
Journal Article
Closed access
PDF file
ICIrene Castellano‐Pellicena
Irene Castellano‐Pellicena
NUNatallia Uzunbajakava
Natallia Uzunbajakava
CMCharles Mignon
Charles Mignon
BRBianca Raafs
Bianca Raafs
VBVladimir A. Botchkarev
Vladimir A. Botchkarev
JTJulie Thornton
Julie Thornton

14 October 2014 in Skin Pharmacology and Physiology
Verified
Journal Article
Closed access
PDF file
RRRenée Richters
Renée Richters
DFDenise Falcone
Denise Falcone
NUNatallia Uzunbajakava
Natallia Uzunbajakava
WVWillem Verkruysse
Willem Verkruysse
Piet van ErpPiet van Erp
Piet van Erp
PKPeter van de Kerkhof
Peter van de Kerkhof
Despite sensitive skin being highly prevalent, no consensus on the definition and pathomechanism of sensitive skin exists. Here we report the results of a systematic literature review of diagnostic methods for sensitive skin at clinical, histological and biophysical levels. A systematic search revealed 27 out of 1,701 articles which we appraised in detail. Impaired skin barrier function and increased vascular reactivity are most often associated with sensitive skin. We identified key reasons causing an ambiguity around the sensitive skin phenomenon. We propose using standardized selection methods of subjects by a multifactorial questionnaire spanning a range of provocations, including those of chemical, mechanical and environmental origin, followed by clinical, histological and top-notch biophysical measurements. This could lead to a breakthrough in the understanding of the sensitive skin phenomenon, fueling advances of biomedical and dermatological science. © 2014 S. Karger AG, Basel

18 April 2017 in Lasers in Surgery and Medicine
Verified
Journal Article
Closed access
PDF file
SBSerena Buscone
Serena Buscone
AMAndrei N. Mardaryev
Andrei N. Mardaryev
BRBianca Raafs
Bianca Raafs
JBJan Willem Bikker
Jan Willem Bikker
CSCarsten Sticht
Carsten Sticht
NBNatalia V. Botchkareva
Natalia V. Botchkareva