K190334 · Mimosa Diagnostics, Inc. · MUD · Nov 1, 2019 · Cardiovascular
Device Facts
Record ID
K190334
Device Name
MIMOSA Imager
Applicant
Mimosa Diagnostics, Inc.
Product Code
MUD · Cardiovascular
Decision Date
Nov 1, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2700
Device Class
Class 2
Attributes
AI/ML
Indications for Use
The MIMOSA Imager is intended to non-invasively estimate the spatial distribution of percent oxygen saturation (StO2) in a volume of tissue. This is performed in medical environments including physician offices, hospitals, ambulatory care and Emergency Medical Services. The MIMOSA Imager is indicated for use in monitoring patients during circulatory or perfusion examinations of skeletal muscle or when there is a suspicion of compromised circulation.
Device Story
MIMOSA Imager is a non-contact, cordless, battery-powered tissue oximeter. It captures spatially-resolved images of superficial tissue using multispectral LED illumination (visible and NIR wavelengths). The device is triggered via a smartphone app interface; it processes spectral signatures of dominant chromophores to calculate StO2. Results are displayed as a spatially registered heatmap on an Android device screen. Used by healthcare professionals in clinics, hospitals, and EMS to assess tissue oxygenation. The output assists clinicians in evaluating circulatory or perfusion status, aiding in the detection of compromised circulation. Benefits include non-invasive, real-time visualization of tissue oxygenation distribution.
Clinical Evidence
Comparative clinical study (n=39, ages 21-70, Fitzpatrick skin types 1-5) performed during vascular occlusion tests (VOT) on thenar eminence and forearm. Primary endpoint: statistical agreement of StO2 measurements between MIMOSA Imager and predicate. Results showed 95% CI of the line of best fit slope between 0.998 and 1.02. No adverse events reported.
Indicated for patients requiring monitoring during circulatory or perfusion examinations of skeletal muscle or when there is a suspicion of compromised circulation in medical environments.
Regulatory Classification
Identification
An oximeter is a device used to transmit radiation at a known wavelength(s) through blood and to measure the blood oxygen saturation based on the amount of reflected or scattered radiation. It may be used alone or in conjunction with a fiberoptic oximeter catheter.
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MIMOSA Diagnostics Inc Yuan Fang Chief Regulatory Officer 1 Yonge St., Suite 201 Toronto, CA M5E1E5 Ontario
November 1, 2019
Re: K190334
Trade/Device Name: MIMOSA Imager Regulation Number: 21 CFR 870.2700 Regulation Name: Oximeter Regulatory Class: Class II Product Code: MUD Dated: October 1, 2019 Received: October 4, 2019
Dear Yuan Fang:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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 CFR Part 807); labeling (21 CFR Part
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Neil R.P. Ogden, MS Assistant Director, THT4A4 DHT4A: Division of General Surgery Devices OHT4: Office of Surgical and Infection Control Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known)
K190334
Device Name MIMOSA Imager
Indications for Use (Describe)
The MIMOSA Imager is intended to non-invasively estimate the spatial distribution of percent oxygen saturation (StO2) in a volume of tissue. This is performed in medical environments including physician offices, hospitals, ambulatory care and Emergency Medical Services. The MIMOSA Imager is indicated for use in monitoring patients during circulatory or perfusion examinations of skeletal muscle or when there is a suspicion of compromised circulation.
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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Image /page/3/Picture/3 description: The image shows the word "MIMOSA" in a sans-serif font, with the letters in a dark blue color. To the left of the word is a stylized flower-like design in shades of yellow and orange. The flower has multiple petals arranged in a circular pattern around a central point.
# 510(k) Summary
[As required by 21 CFR 807.92]
| Submitter's Name: | MIMOSA Diagnostics, Inc. |
|--------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------|
| Address: | 1 Yonge Street, Suite 201, Toronto, ON M5E 1E5 |
| Contact: | General Leung, PhD CTO |
| Telephone: | (844) 646-6721 |
| Primary Email: | general@mimosadiagnostics.com |
| Secondary Email: | yuan@mimosadiagnostics.com |
| Date Summary was prepared: | October 29, 2019 |
| Information Regarding the device classification: | |
| Trade Name: | MIMOSA Imager |
| Common Name: | Tissue Oximeter |
| Classification Regulation: | 21 CFR 870.2700 |
| Classification Regulation Name: | Oximeter |
| Product Code: | MUD |
| Device Class: | II |
| | Information regarding the legally marketed device to which we are claiming equivalence [807.92(a)(3)] |
| 510(k) Reference #: | K042657 |
| Device Name: | ODISsey Tissue Oximeter |
| 510(k) Holder: | ViOptix, Inc. |
| Information regarding Reference Devices with the MUD product code: | |
| Reference Device: | |
| 510(k) Reference #: | K113507 |
| Device Name: | Kent Camera |
| 510(k) Holder: | Kent Imaging, Inc. |
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Image /page/4/Picture/3 description: The image shows the word "MIMOSA" in a sans-serif font, with each letter in a dark blue color. To the left of the word is a stylized flower-like graphic. The graphic is composed of several teardrop-shaped petals arranged around a central point. The petals are colored in a gradient of yellow and orange, giving them a three-dimensional appearance. The overall design is clean and modern, suggesting a brand or logo.
### Description of the Device:
The MIMOSA Imager is a non-contacting, cordless, battery powered device that non-invasively estimates the percent oxygen saturation (StO2) in a volume of tissue. The device captures spatially-resolved images that is triggered by the end user via a smartphone-app interface. By tracking the spectral signatures of dominant chromophores in the patient's superficial tissue, the device calculates and displays the StO2 estimate on the connected android device screen.
The MIMOSA Imager is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that maps the tissue oxygen saturation (StO2) values to a spatially registered heatmap. The MIMOSA Imager shares fundamental principles with other oximeters and tissue oxygenation measurement systems. Tissue oximetry exposes tissue to optical radiation of known wavelengths and captures the remitted or reflected light. The remitted back scattered light is then used to calculate StO2 based on principles of multispectral imaging. Spectral analysis is used to measure StO2 using specific both visible (VIS) and near-infrared (NIR) LED-illuminated wavelengths. Other systems that also measure oxygenation levels in superficial tissue may use only VIS or NIR wavelengths.
#### Indications for Use:
The MIMOSA Imager is intended to non-invasively estimate the spatial distribution of percent oxygen saturation (StO2) in a volume of tissue. This is performed in medical environments including physician offices, hospitals, ambulatory care and Emergency Medical Services.
The MIMOSA Imager is indicated for use in monitoring patients during circulatory or perfusion examinations of skeletal muscle or when there is a suspicion of compromised circulation.
| Parameter | Subject Device: MIMOSA<br>IMAGER | Predicate Device<br>(ODISsey) | Comparison |
|---------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 510k # | This Submission | K042657 | |
| Indications<br>for Use | The MIMOSA Imager is<br>intended to non-invasively<br>estimate the spatial<br>distribution of percent<br>oxygen saturation in a<br>volume of tissue (StO2).<br>This is performed in<br>medical environments<br>including physician offices,<br>hospitals, ambulatory care<br>and Emergency Medical<br>Services. | The ViOptix ODISsey<br>Tissue Oximeter is<br>intended to non-invasively<br>estimate the percent<br>oxygen saturation in a<br>volume of tissue (StO2).<br>This is performed in<br>medical environments<br>including physician offices,<br>hospitals, ambulatory care<br>and Emergency Medical<br>Services. | Similar: only difference is<br>"spatial distribution of." |
| | The MIMOSA Imager is<br>indicated for use in<br>monitoring patients during<br>circulatory or perfusion<br>examinations of skeletal<br>muscle or when there is a<br>suspicion of compromised<br>circulation. | The ODISsey Tissue<br>Oximeter is indicated for<br>use in monitoring patients<br>during circulatory or<br>perfusion examinations of<br>skeletal muscle or when<br>there is a suspicion of<br>compromised circulation. | |
| Measured<br>Parameters | Tissue oxygen saturation<br>(StO2) information | Tissue oxygen saturation<br>(StO2) information | Same |
| Operating<br>Principle | Spectrophotometric<br>oximetry | Spectrophotometric<br>oximetry | Same |
| Light Source | Near-infrared light Source:<br>LED chips Wavelengths:<br>620, 630, 700, 810, 880,<br>980 nm | Near-infrared light Source:<br>laser diodes Wavelengths:<br>690, 830 nm | Similar: the MIMOSA<br>Imager delivers<br>additional wavelengths of<br>light to the tissue in order<br>to improve measurement<br>reliability and providing a<br>more robust dataset. The<br>additional wavelengths<br>have been assessed<br>based on IEC 62471 and<br>were found to not pose<br>any safety concerns and<br>effectiveness<br>demonstrated through<br>performance (bench and<br>clinical) testing . This<br>does not raise any new<br>questions in safety or<br>efficacy. |
| Reusable | Yes | Yes | Same |
| Contact | Non-Contact | Direct Contact | Different: The MIMOSA<br>Imager is a non-contact<br>device while the<br>predicate is not. Other<br>devices within the MUD<br>class, including<br>reference device (Kent<br>Camera, K113507) is<br>non-contacting. In our<br>performance testing, this<br>difference raises no new<br>questions regarding<br>either safety or efficacy. |
| Power Source | Powered with a<br>rechargeable Li-polymer<br>battery. | AC power-operated with<br>30-minute lithium-ion<br>battery backup. | Different: The MIMOSA<br>lmager is powered by a<br>lithium-polymer battery<br>certified to IEC 62133<br>and UN 38.3. This raises<br>no new questions in<br>safety or efficacy. |
| Measurement<br>Range | 1-99% StO2 | 1-99% StO2 | Same |
| Display | Attached Android Device<br>Display | Computer console display<br>module | Similar |
| Materials | Plastic (Nylon 12 / PETG)<br>Enclosure connected to a<br>front-glass, aluminum body<br>smartphone with a PVC<br>cover sheath USB<br>connector cable. | Plastic Enclosure, Metal<br>and Epoxy probe head.<br>PVC cable cover sheath. | Similar |
| Internal<br>Storage | 32000 MB | 2000 MB | Similar |
| Ambient Light | Insignificant contribution to<br>image (relative to NIR<br>LEDs) due to short<br>exposure time | Probe must physically<br>block out all ambient light. | Different: Both devices<br>compensate for ambient<br>light. The MIMOSA<br>lmager uses a short<br>exposure time and a<br>background light<br>compensation algorithm.<br>The predicate device<br>physically attempts to<br>block out light by putting<br>the probe in contact with<br>the imaged tissue. This<br>change in filtering of light<br>had no effect on<br>performance and does<br>not present any<br>additional safety or<br>effectiveness concerns. |
| Patient<br>Population<br>and<br>Environment | Healthcare environment for<br>patient population with<br>potential circulatory<br>compromise | Healthcare environment for<br>patient population with<br>potential circulatory<br>compromise | Same |
| Control<br>Method | Android Device controlled | PC controlled | Similar |
| Sterility | non-sterile | non-sterile | Same |
#### Substantial Equivalence Comparison
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Image /page/5/Picture/3 description: The image shows the word "MIMOSA" in blue font, with a stylized yellow flower to the left of the word. The flower has a central circle with six petals radiating outwards. The font is a simple sans-serif typeface. The overall design is clean and modern.
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Image /page/6/Picture/3 description: The image shows the word "MIMOSA" in a sans-serif font, with each letter in a dark blue color. To the left of the word is a stylized flower with multiple petals in shades of yellow and orange. The flower is positioned so that it appears to be blooming or radiating outward.
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Image /page/7/Picture/3 description: The image shows the logo for Mimosa. The logo consists of a stylized flower on the left and the word "MIMOSA" in blue on the right. The flower has multiple petals and a gradient from yellow to orange. The text is in a sans-serif font.
# Performance Testing - Non-Clinical & Clinical
Using NIST-calibrated spectrometer instruments, the device's LED-system is systematically tested to ensure that it meets tolerances set for illumination wavelength ranges, relative intensity differences between LEDs, as well as overall system endurance. The following core tests are administered on a random sample of our manufactured devices:
- -Spectral response to varying amperage
- -Transmittance profile, as a function of wavelength
- -Stress testing device for endurance, consistency and maximum output
Software documentation and testing have been provided per FDA's "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices."
Clinical: A comparative study was performed for the MIMOSA Imager and predicate device with side-byside comparison of clinical performance in order to demonstrate substantial equivalence. The objective of the study was to compare StO2 measurements for MIMOSA Imager and the Vioptix ODISsey in order to demonstrate substantial equivalence between the two devices. In terms of methodology, the study monitor tissue oxygen saturation in the thenar eminence and forearm during a vascular occlusion test (VOT) using both devices. The study population included a total of 39 individuals ranging from 21 to 70 years of age and (1-5) Fitzpatrick skin types. The study results in terms of the 95% confidence interval of the line of best fit narrowly constrains the slope of the line between 0.998 and 1.02. MIMOSA Imager measures were in statistical agreement with Vioptix for thenar eminence and forearm for age between 21-70 and range of Fitzpatrick skin types. The statistical agreement between the two devices support substantial equivalence of MIMOSA Imager and Vioptix, and no adverse events or complications were encountered during or after clinical testing.
# Conclusion
The MIMOSA Imager has the same intended use as the predicate, has similar technology that does not raise new types of questions of safety or effectiveness. Bench data demonstrates acceptable accuracy of the MIMOSA Imager with respect to the clinical/industrial gold standard in estimating StO2%. Furthermore, precision data demonstrates substantial equivalence between MIMOSA Imager and the predicate device. Overall, the performance data shows that this device provides reasonable assurance of safety and effectiveness to demonstrate substantial equivalence.
REFERENCES:
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Image /page/8/Picture/3 description: The image shows the word "MIMOSA" in a sans-serif font, with each letter in a dark blue color. To the left of the word is a stylized flower-like graphic. The graphic consists of six teardrop-shaped petals arranged in a circular pattern around a central point. The petals are colored with a gradient that transitions from yellow to orange.
[1] Section VI. Specifications: Ranges and Precision (Table). T.Ox™ Operator's Manual, ViOptix Inc. http://www.vioptix.com/wp-content/uploads/2015/10/OXY-2-USM-1-Rev-I-ViOptix-Tissue-(2016). Oximeter-Manual1.pdf
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.