openspectro.github.io/index.html at main · OpenSpectro/openspectro.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
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  <title>Home - OpenSpectro</title>
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</head>
<body>
  <header>
    <h1>OpenSpectro: An Open-Source 3D Spectroscopic Profiling Platform</h1>
  </header>
  <main>
    <section class="hero-section">
        <div class="container">
          <div class="logo-container">
            <img src="openspectro/static/figure/home/logo.png" alt="OpenSpectro Logo" class="logo">
            <span class="logo-text">OpenSpectro</span>
          </div>
          <h1>Spectroscopic Profiling for Biomedical Analysis</h1>
        </div>
      </section>

      <section class="content-section">
        <div class="container">
          <div class="paper-card">
            <div class="abstract-section">
              <h2><i class="fas fa-file-alt"></i>Abstract</h2>
              <p>Spectroscopic analysis is essential for identifying optical-based molecular signatures—distinct patterns observed across various wavelengths. Understanding these signatures provides critical insights for designing wearable health-monitoring devices. In particular, constructing three-dimensional (3D) spectroscopic graphs of molecular spectra enables the optimization of multi-wavelength photoplethysmography (PPG) sensors, improving their accuracy and performance. However, no prior work has systematically mapped spectroscopic signatures to optimize wavelength combinations, slowing advancements in multi-wavelength PPG sensor deployment. To address this gap, we introduce OpenSpectro, an open-source spectroscopic profiling platform for visualizing and sharing molecular spectral data, particularly human physiological biomarkers. OpenSpectro features a preliminary spectroscopic database containing 17 biomarkers and a spectral attention optimization model that identifies customized wavelength attention weights for each biomarker. </p>
            </div>

            <div class="features-grid">
              <div class="feature-card">
                <h3>3D Visualization</h3>
                <p>Interactive 3D molecular signature analysis with real-time manipulation</p>
              </div>
              <div class="feature-card">
                <h3>Wavelength Optimization</h3>
                <p>Multi-PPG wavelength optimization given target biomarker signature</p>
              </div>
              <div class="feature-card">
                <h3>Collaborative Platform</h3>
                <p>Share and compare spectroscopic profiles with researchers worldwide</p>
              </div>
            </div>

            <!-- <div class="citation-section">
              <h2><i class="fas fa-quote-right"></i> Citation</h2>
              <div class="citation-box">
                <p>Please cite our work as:</p>
                <code id="citation-text">
                  Haoran Zhang, Elizabeth Courtney, Kyle Quinn, Amanda Watson (2025). "OpenSpectro: 3D Spectroscopic Profiling for Biomedical Analysis".
                  IEEE Engineering in Medicine and Biology Society. DOI: 10.xxxx/xxxxxx
                </code>
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            <div class="github-section">
              <h2><i class="fab fa-github"></i> GitHub</h2>
              <div class="github-box">
                <p>Check out our GitHub repository for usage instructions and datasets:</p>
                <code id="github-code">
                  <pre>
git clone https://github.com/OpenSpectro/openspectro.github.io.git
cd openspectro.github.io
pip install -r requirements.txt
gunicorn main:app
                  </pre>
                </code>
                <button class="copy-button" onclick="copyToClipboard('github-code')">Copy</button>
              </div>
            </div>

            <div class="usage-section">
              <h2><i class="fas fa-graduation-cap"></i> Platform Guide</h2>
              <div class="usage-steps">
                <div class="step">
                  <div class="step-number">1</div>
                  <h4>Database Navigation</h4>
                  <p>Access our comprehensive biomarker library through intuitive search filters</p>
                </div>
                <div class="step">
                  <div class="step-number">2</div>
                  <h4>Biomarker Selection</h4>
                  <p>Choose from 17+ physiological markers with detailed spectral profiles</p>
                </div>
                <div class="step">
                  <div class="step-number">3</div>
                  <h4>Interactive Analysis</h4>
                  <p>Utilize our 3D visualization tools and threshold sliders for optimal configuration</p>
                </div>
              </div>
            </div>

            <!-- <div class="cta-section">
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      </section>
  </main>

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