DEEPVIEW DIGITAL VIDEO PHYSIOLOGICAL PORTABLE IMAGING SYSTEM
Applicant
Spectralmd, Inc.
Product Code
DPT · Cardiovascular
Decision Date
Apr 18, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2120
Device Class
Class 2
Indications for Use
The Spectral MD DeepView system is intended for studies of blood flow in the microcirculation. The DeepView system is suitable for a wide variety of clinical applications including plastic surgery, diabetes, dermatology, vascular surgery, wound healing, neurology, neurosurgery and anesthetics.
Device Story
DeepView is a portable, non-contact imaging system for microcirculation blood flow assessment. It uses infrared light and non-contact Photoplethysmography (PPG) to detect pulsatile blood flow beneath the skin surface. The system consists of a mobile cart, laptop, mechanical arm, CMOS camera with DSP electronics, and disposable LED cartridges. It captures optical signatures, transforms them into 2D color images of relative perfusion distribution, and displays them to clinicians. Used in clinical settings (e.g., surgery, wound care), it allows non-invasive visualization of blood flow without ionizing radiation. Clinicians use these images to assess tissue perfusion, aiding in clinical decision-making for various surgical and medical conditions.
Clinical Evidence
Bench testing only. Direct comparison testing performed against moorLDI and Avant 9600 predicates. Testing included camera distance and tissue phantom studies to demonstrate equivalence in detecting pulse frequency and producing relative blood flow images.
Technological Characteristics
Non-contact Photoplethysmography (PPG) using infrared LED illumination. System includes CMOS camera, DSP electronics, mobile cart, and laptop. Provides 2D color images of relative perfusion. Software-controlled data collection and analysis. Non-invasive, no ionizing radiation.
Indications for Use
Indicated for studies of blood flow in the microcirculation across clinical applications including plastic surgery, diabetes, dermatology, vascular surgery, wound healing, neurology, neurosurgery, and anesthetics.
Regulatory Classification
Identification
An extravascular blood flow probe is an extravascular ultrasonic or electromagnetic probe used in conjunction with a blood flowmeter to measure blood flow in a chamber or vessel.
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# ※Spectral MD™
#### 5. 510(k) SUMMARY
# K124049
## APR 1 8 2013
| Submitter: | Spectral MD TM, Inc.<br>5959 Harry Hines Blvd.<br>Professional Office Building 1, Suite 426<br>Dallas, Texas 75235 | APR 18 20 |
|-------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|
| Contact Person: | Mr. Kenneth L. Block<br>VP Quality and Regulatory Affairs<br>TEL: 972-499-4934<br>FAX: 972-767-4325<br>block@spectralmd.com | |
| Date Prepared: | December 28, 2012 revised March 25, 2013 | |
| Trade Name: | DeepView Digital Video Physiological Portable Imaging System | |
| Common Name: | Extravascular Blood Flow Probe | |
| Classification Name: | DPT 870.2120 Probe, Blood Flow, Extravascular<br>DQA 870.2700 Oximeter | |
| Predicate Device: | K980383 Moor Instruments - moorLDI Laser Doppler Imager<br>K032841 Moor Instruments - moorLDI2-IR Infrared Laser Doppler Imager<br>K023044 Nonin - Avant Model 9600 Pulse Oximeter | |
| Device Description: | Deep View system-based technology combines real-time digital analysis of optical<br>signatures, thereby sensitizing an imager to photon-tissue interactions deep below<br>the skin's surface. These image signatures are unique to the body and relate directly<br>to a person's dynamic nature - both in terms of the quantity and quality of important<br>physiological properties. This technology is non-invasive and uses no harmful<br>radiation such as X-rays and allows clinical investigators to look deeper into the<br>body, delivering images of blood flow under the skin's surface without ever<br>touching the patient.<br><br>The DeepView system is composed of a mobile cart with uninterruptible power<br>supply, a laptop computer with remote multimedia keyboard, an LCD screen<br>mounted on a bracket that allows for side-to-side panning, a mechanical arm, a<br>CMOS camera with DSP electronics, and disposable LED cartridges with an<br>associated LED driver control board. | |
| Statement of<br>Intended Use: | The Spectral MD DeepView system is intended for studies of blood flow in the<br>microcirculation. The DeepView system is suitable for a wide variety of clinical<br>applications including plastic surgery, diabetes, dermatology, vascular surgery,<br>wound healing, neurology, physiology, neurosurgery and anesthetics. | |
: ・
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## ≥Spectral MD"
Summary of Technological Characteristics:
The DeepView uses infrared light to detect pulsatile blood flow in patients, and then provides 2D color images of relative perfusion distribution to healthcare providers. The technology used is non contact Photoplethysmography (PPG). PPG allows the DeepView to take advantage of the deep penetration of near IR light in human tissue.
The DeepView, as well as all three predicate devices, is portable and use software to control the device operations, collect the patient data, analyze the data, present the data to the user, etc. The DeepView displays 2D color images demonstrating relative blood flow, similar to the moorLDI and moorLD12-1R predicate devices. The new device and the three predicate devices can all store patient data, which can then be examined later by healthcare professionals.
The DeepView and the moorLDI and moorLDI2-IR are non-contact regarding patient interaction. All devices (new and predicate) require light and optics for detection of blood flow. The two predicate imaging devices (moorLDI and moorLD12-1R) use laser illumination, while the DeepView device and predicate Avant 9600 device use LED illumination.
Summary of Test Data:
Direct comparison testing was performed with both the moorLDI and Avant 9600 predicates. Comparison testing was conducted to demonstrate that the DeepView can, using optical methods, detect blood flow and pulse pressure. Using these attributes, DeepView was tested alongside the predicate devices to show substantial equivalence in detecting pulse frequency and in producing flow images. Comparison testing included camera distance testing and tissue phantom testing.
The comparison testing conducted demonstrates that the DeepView is substantially equivalent to the predicate devices identified and does not introduce any new issues of safety and efficacy.
Conclusion:
Spectral MD™, Inc. considers the DeepView to be substantially equivalent to the predicate devices listed above This conclusion is based on the similarities in primary intended use, principles of operation, functional design, and established medical use.
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Image /page/2/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged around the perimeter. Inside the circle is a stylized symbol resembling an abstract human figure with outstretched arms, composed of three curved lines.
#### DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-002
April 18, 2013
Spectral MD™, Inc. % Ken Block Consulting Ms. Diane Rutherford, BSME, MSMSE 1201 Richardson Drive, Suite 280 Richardson, Texas 75080
Re: K124049
Trade/Device Name: DeepView Digital Video Physiological Portable Imaging System Regulation Number: 21 CFR 870.2120 Regulation Name: Extravascular blood flow probe Regulatory Class: Class II Product Code: DPT Dated: March 25, 2013 Received: March 28, 2013
Dear Ms. Rutherford:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you; however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21
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Page 2 - Ms. Diane Rutherford, BSME, MSMSE
CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours, FOR
# PeterDi Rumm -S
Mark N. Melkerson Acting Director Division of Surgical Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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#### INDICATIONS FOR USE
## 510(k) Number: K124049
Device Name: DeepView
Indications for Use:
The Spectral MD DeepView system is intended for studies of blood flow in the microcirculation. The DeepView system is suitable for a wide variety of clinical applications including plastic surgery, diabetes, dermatology, vascular surgery, wound healing, neurology, neurosurgery and anesthetics.
| Prescription Use | X | AND/OR | Over-the-Counter Use |
|------------------------|---|--------|------------------------|
| (21 CFR 801 Subpart D) | | | (21 CFR 801 Subpart C) |
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDHR, Office of Device Evaluation (ODE)
| Neil R Ogden | |
|------------------------------|---------|
| 2013.04.16 15:13:45 -04'00' | |
| (Division Sign-Off) for MXM | |
| Division of Surgical Devices | |
| 510(k) Number | K124049 |
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.