Indicated for the quantitative assessment of protein levels in the aqueous humor of the anterior chamber of the human eye. Intended for use by ophthalmologists or ophthalmic technicians in a clinical setting.
Regulatory Classification
Identification
An ophthalmoscope is an AC-powered or battery-powered device containing illumination and viewing optics intended to examine the media (cornea, aqueous, lens, and vitreous) and the retina of the eye.
Special Controls
*Classification.* Class II (special controls). The device, when it is an AC-powered opthalmoscope, a battery-powered opthalmoscope, or a hand-held ophthalmoscope replacement battery, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 886.9.
{0}
**FDA U.S. FOOD & DRUG**
ADMINISTRATION
September 11, 2026
Kowa Company, Ltd. Chofu Factory
% Nana Nagashita
Regulatory consultant
Ken Block Consulting Co., Ltd.
1-9-9 Hosokawatsukiji Bldg., Tsukiji
Cyuo-Ku
Tokyo, 104-0045
Japan
Re: K261255
Trade/Device Name: Kowa Fm-600
Regulation Number: 21 CFR 886.1570
Regulation Name: Ophthalmoscope
Regulatory Class: Class II
Product Code: MYC
Dated: August 5, 2026
Received: August 6, 2026
Dear Nana Nagashita:
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 (the 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 available 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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K261255 - Nana Nagashita
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn).
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K261255 - Nana Nagashita
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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-devices/device-advice-comprehensive-regulatory-assistance/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,
# BRADLEY S. CUNNINGHAM -S
CAPT Bradley Cunningham, MSE, RAC
Acting Assistant Director
DHT1A: Division of Ophthalmic Devices
OHT1: Office of Ophthalmic, Anesthesia,
Respiratory, ENT, and Dental Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K261255 | ? |
| Please provide the device trade name(s). | | ? |
| KOWA FM-600 | | |
| Please provide your Indications for Use below. | | ? |
| KOWA FM-600 is an instrument to measure the protein level contained in aqueous humor of the anterior chamber of human eye. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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K261255

# Kowa Company, Ltd.
Chofu Factory
3-1 Chofugaoka 3-chome, Chofu City
Phone:81-42(440)7612
Tokyo 182-0021, Japan
FAX :81-42(440)7616
# 510(k) Summary
Date of preparation: August 31st, 2026
# Contact Details
| Applicant Name | Kowa Company, Ltd. Chofu Factory |
| --- | --- |
| Applicant Address | 3-1 Chofugaoka 3-chome Chofu Tokyo 182-0021 Japan |
| Applicant Contact Telephone | 81+42-440-7630 |
| Applicant Contact | Mr. Kazunori Matsumura |
| Applicant Contact Email | kamatamr@kowa.co.jp |
| Correspondent Name | Ken Block Consulting Co., Ltd. |
| Correspondent Address | 1-9-9 HosokawaTsukiji Building, Tsukiji Cyuo-ku Tokyo 104-0045 Japan |
| Correspondent Contact Telephone | +81-3-6260-6688 |
| Correspondent Contact | Ms. Nana Nagashita |
| Correspondent Contact Email | nagashita@kenblockconsulting.com |
# Device Name
| Device Trade Name | KOWA FM-600 (LSS50D2) |
| --- | --- |
| Common Name | Ophthalmoscope |
| Classification Name | Ophthalmoscope, Laser, Scanning |
| Regulation Number | 886.1570 |
| Product Code(s) | MYC |
| Class | II |
# Legally Marketed Predicate Devices
| Predicate # | K091039 |
| --- | --- |
| Predicate Trade Name (Primary Predicate is listed first) | KOWA FM-600 |
| Product Code | MYC |
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K261255
## Device Description Summary
The KOWA FM-600, hereinafter referred to as FM-600, is a noninvasive flare photometry medical device that can quantitatively assess anterior protein level in the anterior chamber of the human eye. FM-600 is a prescription device, intended to be used by an ophthalmologist or ophthalmic technician.
FM-600 is an electro-optical software-controlled medical device consisting of three units: Measurement unit, Operating unit and Power supply unit with two operating modes (Automatic and Manual).
The measurement unit contains the FM-600 optical system, which includes the laser, photoreceiver and CCD camera for observation. The light sources of FM-600 are a laser diode for flare measurement and an LED light for illumination to observe the measurement area. The operating unit contains the observation monitor, analyzer of detected photon intensity, printer for output, and migratory mechanism of the units. The power supply unit contains the AC/DC electrical supply and control mechanism.
The optical system is composed of a laser beam emitter and a photoreceiver positioned orthogonal to the axis of the beam. The scanning laser beam is focused at the target point in the anterior chamber. Scattered light from the anterior chamber is detected by the photoreceiver through a photoreceiver mask. The photoreceiver mask plays an important role to create a measurement window in the anterior chamber, of which position is optically matched with the target position. Scattered light passing through the mask reaches the photoreceiver, and then the light intensity signal is converted to an electrical signal with the photoreceiver. Then, the collected signal is analyzed in the analyzer unit to determine a flare value. The results are shown on the LCD monitor.
## Intended Use/Indications for Use
KOWA FM-600 is an instrument to measure the protein level contained in aqueous humor of the anterior chamber of human eye.
## Technological Comparison
The subject device has the same fundamental measurement principle and operating principle as the predicate device (K091039).
The main technological differences from the predicate device are as follows (see Table 1):
- Laser source wavelength: Changed from 635 nm to 638 nm. Slightly longer wavelength.
- Laser scanning mechanism: Changed from Galvanometer to MEMS mirror.
- Laser output: ≤ 50 μW for the predicate device and 35 ± 15 μW for the subject device. A plus minus tolerance has been introduced for the subject device.
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K261255
Maximum intensity is same.
- Input terminal: Changed from PS/2 terminal to USB terminal.
- Chin rest and forehead rest: The color changed from yellow to green.
- Alignment mode: Front view alignment mode has been added to the subject device.
Table1 Comparison of the subject device against the predicate device
| | Subject Device | Predicate Device | Comparison |
| --- | --- | --- | --- |
| Trade Name | KOWA FM-600 | KOWA FM-600 | |
| 510(k) Number | K261255 | K091039 | |
| 510(k) Submitter | KOWA Company, Ltd. | KOWA Company, Ltd. | Same. |
| Device Class | Class II | Class II | Same. |
| Product Code(s) | MYC | MYC | Same. |
| Regulation | 886.1570 | 886.1570 | Same. |
| Classification Panel | Ophthalmic | Ophthalmic | Same. |
| Intended Use | KOWA FM-600 is an instrument to measure the protein level contained in aqueous humor of the anterior chamber of human eye. | KOWA FM-600 is an instrument to measure the protein level contained in aqueous humor of the anterior chamber of human eye. | Same. |
| OTC/ Rx | Rx | Rx | Same. |
| Flare Measurement Functions and Principal parts | | | |
| Wavelength of Laser source | 638 nm | 635nm | Different. Slightly longer wavelength. |
| Laser scanning width | 0.6 mm | 0.6 mm | Same. |
| Beam west diameter | 20μm | 20μm | Same. |
| Laser light intensity at the subject eye | 35±15 μW | Less than 0.05mW | Different. A plus minus tolerance has been introduced for the subject device. Maximum intensity is |
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K261255
| | Subject Device | Predicate Device | Comparison |
| --- | --- | --- | --- |
| Trade Name | KOWA FM-600 | KOWA FM-600 | |
| | | | same. |
| Photo detector | Photo multiplier tube | Photo multiplier tube | Same. |
| Measurement range | 1 to 500 Photon count/ms | 1 to 500 Photon count/ms | Same. |
| Measurement area | 0.3 (H) x 0.5 (W)mm | 0.3 (H) x 0.5 (W)mm | Same. |
| Measurement time | 0.5 second | 0.5 second | Same. |
| Measurement distance | 81 mm (Patient's eye to objective lens) | 81 mm (Patient's eye to objective lens) | Same. |
| Illumination light source | Infrared LED | Infrared LED | Same. |
| Observation method | Electrical image by CCD camera | Electrical image by CCD camera | Same. |
| Fixation light source | Visible LED | Visible LED | Same. |
| Laser scanning element | MEMS mirror | Galvanometer | Different. Changed from Galvanometer to MEMS mirror |
| Alignment mode | Front view alignment Side view alignment | Side view alignment | Different. Front view alignment mode has been added to the subject device. |
| Hardware | | | |
| Dimension/Weight | 274(W) x 457 (D) x 458 (H) mm /18 kg | 274(W) x 457 (D) x 458 (H) mm /18 kg | Same. |
| Input terminal | USB terminal | PS/2 terminal | Different. Changed from PS/2 terminal to USB terminal. |
| LCD monitor | 5.6 inch TFT color LCD | 5.6 inch TFT color LCD | Same. |
| Accessories | Power cable, Fuses, Dust cover, Chin-rest paper, Chin-rest's pins, and Printer papers. | Power cable, Fuses, Dust cover, Chin-rest paper, Chin-rest's pins, and Printer papers. | Same. |
| Options | Numerical keypad, | Numerical keypad, | Same. |
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K261255
| | Subject Device | Predicate Device | Comparison |
| --- | --- | --- | --- |
| Trade Name | KOWA FM-600 | KOWA FM-600 | |
| | Barcode reader, and Light shade. | Barcode reader, and Light shade. | |
| Biocompatibility | | | |
| Chin rest Forehead rest | - Intact skin - Limited contact duration (≤24 h) - Green color | - Intact skin - Limited contact duration (≤24 h) - Yellow color | The color changed from yellow to green |
The following tests and evaluations were conducted to compare the safety and effectiveness of the subject device and the predicate device [K091039].
### Clinical Test
N/A
### Non-Clinical Tests Summary
Two performance equivalence testing were conducted, as described below.
- **Equivalence Verification of Flare Meter KOWA FM-600, Model LSS50D2 with Predicate Device LSS50**
Using the subject device and the predicate device, the correlation of flare values by Deming regression, the differences in flare values by Bland-Altman analysis, the repeatability of flare values, and the reproducibility of flare values were evaluated. The results confirmed that the subject device is substantially equivalent to the predicate device.
- **Equivalence Verification of Front View Alignment with Side View Alignment Using KOWA FM-600, Model LSS50D2**
Using the subject device, the correlation of flare values by Deming regression, the differences in flare values by Bland-Altman analysis, and the repeatability of flare values were evaluated between the new alignment procedure (front view alignment) and the conventional alignment procedure (side view alignment). The results confirmed that flare measurement using the front view alignment is substantially equivalent to that using the side view alignment.
Optical safety was evaluated in accordance with ANSI Z80.36-2021. The results demonstrated that the subject device meets the applicable requirements and is classified in Group 1 under ANSI Z80.36-2021, which indicates an ophthalmic instrument with no potential
Page 5
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K261255
optical hazard. This classification is the same as that of the predicate device.
The subject device was evaluated for the fundamental requirements of ophthalmic instruments in accordance with ISO 15004-1:2020. The results confirmed that the subject device meets the requirements of ISO 15004-1:2020.
For biocompatibility, the chin rest and forehead rest of the subject device are made of the same materials including color additives as the 510(k) cleared device KOWA KT-800 (053444). Therefore, by reference to KOWA KT-800 (K053444), biocompatibility has been demonstrated.
Electrical safety and electromagnetic compatibility (EMC) were evaluated in accordance with IEC 60601-1 and IEC 60601-1-2. The results confirmed that the subject device meets the applicable requirements and can be used safely in the intended use environment.
A risk analysis was performed for immunity to electromagnetic sources described in Section IV.J of the FDA guidance, “Electromagnetic Compatibility (EMC) of Medical Devices”, and it was determined that the risks can be adequately mitigated through labeling.
In addition, it was confirmed that EMC performance has been adequately evaluated in the test report based on IEC 60601-1-2.
Software verification and validation (V&V) were conducted in accordance with IEC 62304 and the FDA guidance, “Content of Premarket Submissions for Device Software Functions” (issued June 14, 2023). The results confirmed that the software of the subject device operates as intended and has been appropriately designed, verified, and validated.
For cybersecurity, an evaluation was conducted in accordance with IEC 81001-5-1 and the FDA guidance, “Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions” (issued Feb. 3, 2026). The results confirmed that, with appropriate risk controls implemented, there are no unacceptable residual risks.
## Conclusion
The subject device shares the same fundamental technologies as the predicate device (K091039). The comparison between the subject device and the predicate device shows similarities with several differences. The non-clinical tests and evaluations described above were conducted to see if these differences raise any questions in safety and/or effectiveness of the subject device, and all test and evaluation results support that the subject device is as safe, as effective, and thus substantially equivalent to the predicate device.
Page 6
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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 ? 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 as a Medical Device, 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 as a Medical Device), 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.