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Somekh, M. G.

Publications and source records attributed to Somekh, M. G..

2 recordsLinked to original sources

Are you represented? Subjective vs objective skin color determination for healthcare and research purposes.

Despite questionable accuracy, subjective methods to categorize skin color are heavily relied upon in research and medicine. Objective skin color determination is expensive requiring specialized instrumentation and interpretation. We compare three subjective approaches, i) Fitzpatrick Skin Type Scale (FST), ii) Pantone SkinTone Guide (PST) and, iii) Monk Skin Tone Scale (MST), with objectively measured skin color from a spectrophotometer in 87 volunteers to understand the limitations of each method. In agreement with others, we show that the popular FST questionnaire correlates poorly with the objective approach. However, PST color swatches provide good correlation with spectrophotometer measurements. PST consists of 110+ swatches that are inexpensive and easy to use, however, similar to other reports, the volunteers found the number of swatches overwhelming and/or excessive. We found that the recently introduced MST is not representative of reality with only 3 of the 10 color groups representing our volunteers and published populations of volunteers. In future, we propose using 9 color swatches to split the spectrum of human skin color into 10 groupings (Nottingham Skin Categories - NSC) that are representative of the global population. This new approach would be easy to implement and inexpensive in research, healthcare and cosmetics settings, and maps directly to objective, quantitative, measures taken with a spectrophotometer. For the testing and development of new optical devices, NSC would provide increased comparability between studies and ensure studies are representative of local/global populations. In the clinic NSC would be useful for dermatology, photodynamic therapy and dosage assessment for topical medicine, for example.

scientific communication and education↗

Plasmonic imaging of living pancreatic beta-cell networks

We present a novel plasmonic imaging technique for real-time, label-free tracking of bioelectrical interactions in live pancreatic beta-cell networks. Surface plasmon resonance microscopy (SPRM) is utilized to reveal synchronized glucose-induced intensity oscillations that are suppressed by calcium channel blockers. These oscillations are observed at the subcellular scale with a resolution of 1 m. The technique can also uncover the extracellular spread of these oscillations beyond the cells. We further combine SPRM with network analysis to quantify coordinated electrical activity within the living cell network using both amplitude and phase-based metrics. Our results demonstrate a new method for studying electrical communication in pancreatic beta-cells, which could be crucial for understanding dysregulation in diabetes and advancing treatment development. This technique holds promise for investigating electrical connectivity in biological cell networks with applications in neuroscience, cardiac science, and bioelectricity in cancer, microbiology, development and regeneration. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/649945v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1dc0ce1org.highwire.dtl.DTLVardef@1d1c333org.highwire.dtl.DTLVardef@6684acorg.highwire.dtl.DTLVardef@906170_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗