Speckle image stacks acquired on human skin with a high-speed camera

<p>These datasets all consist of stacks of images of various body parts of of the same 50-year-old Caucasian male subject.</p> <p>For each acquisition, the skin was first illuminated with a near-infrared LASER (wavelength 785 nm). Then, the skin was filmed with a Phantom VEO 710L camera, with an acquisition rate of 2000 to 30,000 Hz.</p> <ul> <li>Datasets <strong>WRIST_1</strong>, <strong>WRIST_2</strong> and <strong>WRIST_3</strong> were acquired by imaging the anterior surface of the left wrist, with respective acquisition frequencies of 3000, 2000 and 10,000 Hz.</li> <li>Dataset <strong>FINGERS</strong> consists of images of the end of two fingers of the left hand. It was acquired at 30,000 Hz.</li> <li>Dataset <strong>EAR</strong> consists of images of the right ear. It was acquired at 2000 Hz.</li> <li>Dataset <strong>PALM</strong> consists of images of the palm of the left hand, which was gently scraped beforehand to trigger a superficial inflammation and draw a smiley face. It was then filmed with an acquisition frequency of 10,000 Hz.</li> </ul> <p>Each dataset is stored in a HDF5 file. The data array is stored as <strong>data </strong>at the root of the tree structure. Attributes <strong>T_exp </strong>and <strong>f_acq</strong> provide respectively the exposure time (in microseconds) and the acquisition rate (in Hertz) of the dataset. The script <strong>test.py </strong>shows how data can be accessed through Python and the library h5py. It can be used as follows:</p> <pre><code class="language-bash">python test.py filename.h5</code></pre> <p>All these datasets are used and referenced in our companion article &quot;Dynamic speckle imaging of human skin vasculature with a high-speed camera&quot; (to be published).</p>