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    <title>Repository Collection: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/13573</link>
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    <pubDate>Fri, 24 Apr 2026 18:39:27 GMT</pubDate>
    <dc:date>2026-04-24T18:39:27Z</dc:date>
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      <title>Local Microcirculation Level Changes During Laser Acupuncture Treatment of Rats With Osteoarthritis</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60223</link>
      <description>Title: Local Microcirculation Level Changes During Laser Acupuncture Treatment of Rats With Osteoarthritis
Author(s): Park, Jae Yoon; Youn, Cha-kyung; Kang, Sang-mi; Choi, Gisoon; Jang, Seo Won; Chung, Hea Ik; Kim, Jae-min; Myeong, Ju-yeong; Yang, Ji-hye; Nguyen, Cong Duc; You, Yanghee; Na, Changsu; Lee, Kijoon
Abstract: This study evaluates whether a deep-tissue microcirculation measurement can serve as an indicator of laser acupuncture treatment efficacy in an osteoarthritis (OA) animal model. Four groups of rats (normal, OA, OA10, and OA20, n = 6 each) were prepared where OA10 and OA20 mean treated groups with different light doses. Blood flow index (BFI) was measured at four time points (T0–T3) near acupoints GB34 and GB39 using a custom-made diffuse speckle contrast analysis (DSCA) system. BFI measurement showed an increase after OA induction and it remained elevated, whereas treatment groups exhibited a decrease in BFI. Spectral analysis revealed meaningful changes in the myogenic wave band, and a support vector machine classification demonstrated that incorporating BFI at T1 along with anatomical features significantly improved group separation accuracy, indicating a strong correlation between acute inflammatory response and anatomical indices.</description>
      <pubDate>Wed, 31 Dec 2025 15:00:00 GMT</pubDate>
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      <dc:date>2025-12-31T15:00:00Z</dc:date>
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    <item>
      <title>Diffuse speckle contrast analysis for flowmetry with deep light sources</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/59974</link>
      <description>Title: Diffuse speckle contrast analysis for flowmetry with deep light sources
Author(s): Jang, Seo Won; Moon, Soomin; Park, Jae Yoon; Lee, Tae Gyun; Lee, Kijoon
Abstract: Diffuse optical probes for monitoring various hemodynamic variables usually use tissue-contacting fiber based probes, and no practical cases exist where source location is positioned in deep tissue, as diffuse optical spectroscopy and tomography are normally regarded as a non-invasive imaging technique. There are some cases, however, where the light source is positioned in deep tissue, as in the case of recently developed laser acupuncture. In this study, we theoretically analyze the light propagation in a semi-infinite diffuse medium with a deep light source, especially in the context of blood flow measurement. A liquid phantom study with deep light sources is performed to validate the analytic solution of photon diffusion equation, and a diffuse speckle contrast analysis (DSCA) measurement from a flow phantom within a solid matrix is performed to demonstrate the feasibility of the proposed method. The results show that the flow measurement using DSCA with a deep light source is not only feasible, but also has advantages in some cases. Sensitivity analysis shows the light source with a depth of up to 2 cm can be used to provide the information on the magnitude and location of blood flow.</description>
      <pubDate>Sat, 28 Feb 2026 15:00:00 GMT</pubDate>
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      <dc:date>2026-02-28T15:00:00Z</dc:date>
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    <item>
      <title>Pressure stimulus study on acupuncture points with multi-channel multimode-fiber diffuse speckle contrast analysis (MMF-DSCA)</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47504</link>
      <description>Title: Pressure stimulus study on acupuncture points with multi-channel multimode-fiber diffuse speckle contrast analysis (MMF-DSCA)
Author(s): Park, Jae Yoon; Choi, Gisoon; Lee, Kijoon
Abstract: A multi-channel multimode-fiber deep tissue flowmetry system has been constructed based on diffuse speckle contrast analysis (DSCA) for simultaneous blood flow measurements at different locations on the human body. This system has been utilized in an acupuncture study within the field of traditional Chinese medicine (TCM), primarily focusing on acupuncture points along the large intestine meridian. Deep tissue blood flow was monitored at four different acupuncture points (LI1, LI5, LI10, and ST25) with a sampling rate of 60 Hz while applying pressure stimulus on LI4 (hegu or hapgok). Although the blood flow index (BFI) and blood volume (BV) did not exhibit significant changes after the pressure stimulus, an increase in the amplitude and complexity of low-frequency oscillations (LFOs) in microcirculation was observed. © 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.</description>
      <pubDate>Tue, 31 Oct 2023 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/47504</guid>
      <dc:date>2023-10-31T15:00:00Z</dc:date>
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    <item>
      <title>Dataset on transcriptome signature of skeletal muscle of young, adult and aged mice</title>
      <link>https://scholar.dgist.ac.kr/handle/20.500.11750/17348</link>
      <description>Title: Dataset on transcriptome signature of skeletal muscle of young, adult and aged mice
Author(s): Listrat, Anne; Goh, Kheng Lim; Jousse, Celine; Tounayre, Jeremy; Wang, Huijuan; Lee, Kijoon; Bechet, Daniel
Abstract: This data article reports the level of expression of messenger RNA (mRNA) obtained from a set of 18 skeletal muscle samples using Affymetrix Genechips Exon arrays. Data were obtained from Gastrocnemius muscle of C57BL6 male mice at 3 distinct age groups, 2, 11 and 25 months old representing young, mature adult and aged groups. The data submitted to GEO constitute a large dataset of 15,300 mRNA levels. The data include eighteen .CEL files obtained after scanning mouse exon arrays and one .xls file obtained after processing with Genespring GX 14.9. Three distinct files containing affymetrix data processed using Genespring and analyzed for differences between stages 2 per 2 are provided as supplementary data. © 2022 The Authors. Published by Elsevier Inc.</description>
      <pubDate>Sun, 31 Jul 2022 15:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholar.dgist.ac.kr/handle/20.500.11750/17348</guid>
      <dc:date>2022-07-31T15:00:00Z</dc:date>
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