K250465 · Nanjing Bestview Laser S&T Co., Ltd. · GEX · Jun 9, 2025 · General, Plastic Surgery
Device Facts
Record ID
K250465
Device Name
CO2 Laser Machine (Lume)
Applicant
Nanjing Bestview Laser S&T Co., Ltd.
Product Code
GEX · General, Plastic Surgery
Decision Date
Jun 9, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 878.4810
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The CO2 Laser Machine (Lume) is used for body soft tissue vaporization and coagulation in dermatology and plastic surgery, general surgery, gynecology.
Device Story
The CO2 Laser Machine (Lume) is a Class IV RF-excited CO2 laser system (10,600nm) used in hospital settings by clinicians. It delivers laser energy via an articulated arm to target soft tissue; the energy is absorbed by tissue water, causing boiling and evaporation (ablation) or thermal coagulation for hemostasis and neocollagenesis. The device features an LCD touch screen interface and is controlled via a foot switch. It operates in fractional and normal modes (CW, Single, Repetitive, Ultra). The output is used by surgeons and dermatologists to perform tissue vaporization and coagulation, benefiting patients through precise surgical or aesthetic tissue management.
Clinical Evidence
Bench testing only. Performance verified via ISO 10993 biocompatibility testing (cytotoxicity, skin sensitization, irritation) and electrical safety/EMC standards (ANSI AAMI ES60601-1, IEC 60601-1-2, IEC 60601-2-22, IEC 60825-1).
Technological Characteristics
RF-excited CO2 laser; 10,600nm wavelength; 1-30W output power; articulated arm delivery; Class IV laser; LCD touch screen interface; foot switch control. Complies with ANSI AAMI ES60601-1, IEC 60601-1-2, IEC 60601-2-22, and IEC 60825-1. Biocompatibility per ISO 10993-5, -10, and -23.
Indications for Use
Indicated for body soft tissue vaporization and coagulation in dermatology, plastic surgery, general surgery, and gynecology.
Regulatory Classification
Identification
(1) A carbon dioxide laser for use in general surgery and in dermatology is a laser device intended to cut, destroy, or remove tissue by light energy emitted by carbon dioxide.(2) An argon laser for use in dermatology is a laser device intended to destroy or coagulate tissue by light energy emitted by argon.
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FDA U.S. FOOD & DRUG ADMINISTRATION
June 9, 2025
Nanjing Bestview Laser S&T Co., Ltd.
Jing Wang
Management Representative
1st & 2nd Fl, Bldg 5, Area 1, Phase 2 Liandong U Valley
Science & Technology Innovation Pk, No.1 Hengyi Rd, Nanjing Ec
Nanjing, Jiangsu 210000
China
Re: K250465
Trade/Device Name: CO2 Laser Machine (Lume)
Regulation Number: 21 CFR 878.4810
Regulation Name: Laser Surgical Instrument For Use In General And Plastic Surgery And In Dermatology
Regulatory Class: Class II
Product Code: GEX
Dated: May 13, 2025
Received: May 13, 2025
Dear Jing Wang:
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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K250465 - Jing Wang
Page 2
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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 systems (QS) regulation (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). 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-
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K250465 - Jing Wang
Page 3
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,
TANISHA L.
HITHE -S
Digitally signed by TANISHA L. HITHE -S
Date: 2025.06.09 14:19:43
-04'00"
Tanisha Hithe
Assistant Director
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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FORM FDA 3881 (6/20)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 06/30/2023 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K250465 | |
| Device Name CO2 Laser Machine (Lume) | |
| Indications for Use (Describe) The CO2 Laser Machine (Lume) is used for body soft tissue vaporization and coagulation in dermatology and plastic surgery, general surgery, gynecology. | |
| Type of Use (Select one or both, as applicable) ☑ Prescription Use (Part 21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | |
| CONTINUE ON A SEPARATE PAGE IF NEEDED. | |
| This section applies only to requirements of the Paperwork Reduction Act of 1995. *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.* | |
| The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to: Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov | |
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510(K) Summary # K250465
# 510(k) Summary # K250465
## 1. Submitter's Identification
| Owner's Name: | Nanjing Bestview Laser S&T Co.,Ltd. |
| --- | --- |
| Address: | 1st&2nd Floor, Building5, Area1, Phase2, Liandong U Valley Science and Technology Innovation Park, No.1Hengyi Road, Nanjing Economic and Technological Development Zone, Nanjing 210000, Jiangsu, P.R. China |
| Phone: | +86-15824831075 |
| E-mail: | jingwang@bestviewlaser.com |
| Contact: | Wang Jing |
## 2. Name of the Device
- Trade/Proprietary Name : CO2 Laser Machine
- Common Name : Powered Laser Surgical Instrument
- Model : Lume
- Classification : II
- Product Code: GEX
## 3. Device Description
The CO2 Laser Machine generate a 10,600nm wavelength, which is absorbed by water in the tissue.
The laser energy heats up the water until it reaches a boiling point causing the evaporation of the affected tissue. Some heat is absorbed by tissue adjacent to the ablated target area, causing tissue coagulation which induces hemostasis (the cessation of bleeding) as well as thermal stimulation of deep skin layers, which induces fibroblast stimulation and neocollagenesis (the formation of new collagen).
## 4. Indication for Use
The CO2 Laser Machine (Lume) is used for body soft tissue vaporization and
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510(K) Summary # K250465
coagulation in dermatology and plastic surgery, general surgery, gynecology.
# 5. Technological Characteristics of Device as to Compare to the Predicate Devices
| Item | Proposed Device | Predicate Device 1 | Predicate Device 2 | Remark |
| --- | --- | --- | --- | --- |
| Trade Name | CO2 Laser Machine | CO2 Laser Therapy System | EdgeOne CO2 Laser | / |
| Model | Lume | HS-411 | / | / |
| 510(k) Number | K250465 | K201109 | K162169 | / |
| Product Code | GEX | GEX | GEX | Same |
| Regulation No. | 21 CFR 878.4810 | 21 CFR 878.4810 | 21 CFR 878.4810 | Same |
| Class | II | II | II | Same |
| Intended Use | The CO2 Laser Machine is used for body soft tissue vaporization and coagulation in dermatology and plastic surgery, general surgery, gynecology. | The CO2 Laser Therapy System is used for body soft tissue vaporization and coagulation in dermatology and plastic surgery, general surgery, gynecology. | It is indicated for incision,excision, ablation, vaporization and coagulation of body soft tissues in medical specialties including aesthetic (dermatology and plastic surgery), podiatry, otolaryngology(ENT), gynaecology, neurosurgery, orthopaedics, general and thoracic surgery (including open and endoscopic), dental and oral surgery and genitourinary surgery. The use with the scanning unit is indicated for ablative skin resurfacing. | Same |
| Where Used | Hospital | Hospital | Hospital | Same |
| Laser Type | RF tube laser | RF Sealed-off CO2 | CO2 | Same |
| Wavelength | 10600nm | 10600nm | 10600nm | Same |
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510(K) Summary # K250465
| Aiming Beam Wavelength | 650nm/≤390μw /Diode Laser (Red) | | 650nm/<2mw/Semiconductor Laser LD | | Diode laser(Red) 655 +/- 10nm, Max 1mW | Analysis1 |
| --- | --- | --- | --- | --- | --- | --- |
| Light delivery system | Articulated arm | | Articulated arm | | Articulated arm | Same |
| Emission Control | Foot switch | | Foot switch | | Foot switch | Same |
| Laser Classification | Class IV | | Class IV | | Class IV | Same |
| Software | Yes | | Yes | | Yes | Same |
| User Interface | LCD color touch screen | | LCD color touch screen | | LCD color touch screen | Same |
| Operation Mode | Fractional mode, normal mode (CW, Single, Repetitive, Ultra) | | Fractional mode, normal mode and vaginal (CW, Single, Pulse, S. pulse, U. pulse) | | Fractional mode, normal mode (CW, Pulse, Single Pulse, Repeat, Group pulse, Ultra) | Analysis2 |
| Output Power | 1~30W | | 1~35W | | 30W | Same |
| Pulse Energy | 3~300mJ/dot | | 1~300mJ/dot | | 1~300mJ | Analysis3 |
| Pulse Duration | Single | 1-100ms | Single | 10-500ms | 1-1000ms | Analysis4 |
| | Repetitive | 1-100ms | Pulse | 5-500ms | | |
| | Ultra | 0.1-0.9ms | U.pulse | 0.1-0.9ms | | |
| | CW | / | CW | / | | |
| Pulse Interval | Single | / | Single | / | | |
| | Repetitive | 1-100ms | Pulse | 1-500ms | | |
| | Ultra | 1-100ms | U.pulse | 1-100ms | | |
| | CW | / | CW | / | | |
| Spot Size | 300μm | | 150μm | | 120μm, 350μm, 800μm | Analysis5 |
| Spot Density (DPA)/cm2 | 12-400 dots | | 25-3025 dots | | 1-441 dots (350μm) | Analysis6 |
| Intra-beam Distance | 0.2-2.6mm | | 0.03-1.85mm | | 0.13-9.65mm | Analysis7 |
| Scan Area Size | 1x1mm~20x20mm | | 2x2mm~20x20mm | | 2x2mm~15mmx15mm | Analysis8 |
| Power Supply | AC 110V/60Hz | | AC100V/240V,50/60Hz | | 230V~, 50/60Hz, 500VA(max. laser output), 100 VA(stand by) | Same |
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510(K) Summary # K250465
## 6. Comparison Summary
### 6.1 Discussion of Similarities and Differences
The features of the CO2 Laser Machine are compared to the two predicate devices in the form of above tables.
The Proposed device and the predicate devices differ in the following areas.
- **Analysis 1: Aiming Beam**
The aiming beam power of the proposed device is different from that of the two predicate devices, and the aiming beam wavelength of the target device is same with the predicate device 1, similar to the predicate device 2. The aiming beam only serves as a red light indicator, different power only affects the brightness of red light, It has no impact on effectiveness and safety of the machine.
- **Analysis 2: Operation Mode**
Although the predicate device1 has additional vaginal treatment mode and S. pulse mode and the predicate device2 has additional pulse and Group pulse mode compared with Proposed device, the effectiveness and safety of other modes should not be affected.
- **Analysis 3: Pulse Energy**
The pulse energy range of the two predicate devices covers the pulse energy range of the proposed device. It will not result in a negative effect on safety and effectiveness.
- **Analysis 4: Pulse Interval/Duration**
Although the minimum pulse duration of the proposed device in partial mode are slightly lower than the predicate device1 but the maximum pulse duration and the pulse interval of the proposed device is within the corresponding range of the predicate device1, and the pulse duration and the pulse interval of predicate device2 cover the proposed device's pulse duration and pulse interval, so the difference does not result in a negative effect on safety and effectiveness.
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510(K) Summary # K250465
- **Analysis 5: Spot Size**
Although there is a certain difference in the spot size between proposed device and the predicate devices, the spot size of proposed device is between the predicate device1 (150μm) and predicate device 2 (350μm), so this difference will not result in a negative effect on safety and effectiveness.
- **Analysis 6: Spot Density**
Although the proposed device’s maximum and minimum spot densities are both lower than those of Predicate Device 1, the spot density per unit area is somewhat different due to the larger spot size used in the proposed device, that is, the area covered by a single dot is larger; while compared to the spot density of predicate device 2, the spot density of the prediction device 2 cover the proposed device’s spot density, meanwhile the point size of them is similar. This suggests that our device performs similarly to predicate Device 2, and slight differences in spot density from the predicate device2 will not affect safety and effectiveness.
- **Analysis 7: Intra-beam Distance**
Although the intra-beam distance of the proposed device have some difference from that of the two predicate devices, but it overlaps with the intra-beam distance range of the two predicate devices in a large part, and the intra-beam distance range of the predicate device2 completely covers the intra-beam distance range of the proposed device, so the different will not adversely result in a negative effect on safety and effectiveness.
- **Analysis 8: Scan Area Size**
The minimum scan area size of the proposed device is different from that of the two predicate devices, the scan area size of the predicate devices 1 is within the corresponding range of the proposed device and the maximum scan area size of proposed device is same with the predicate devices 1, the scan area size is only for Fractional Graphic area, the slightly different does not result in a negative effect on safety and effectiveness.
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510(K) Summary # K250465
## 6.2 Argument for Substantial Equivalence to Predicate Devices
All above is the comparison between the CO2 Laser Machine (Model: Lume) and legally marketed devices, which shows the proposed device and the predicate devices are substantially equivalent.
## 7. Biocompatibility
The CO2 Laser Machine (Model: Lume) have been evaluated in accordance with Part 10993 of the International Standard Organization (ISO). Standard tests administered include:
- ISO 10993-5: 2009 Biological Evaluation of Medical Devices - Part 5: Tests for in vitro cytotoxicity.
- ISO 10993-10 2021, Biological Evaluation of Medical Devices - Part 10: Tests for Skin sensitization.
- 10993-23: 2021, Biological Evaluation of Medical Devices - Part 23: Tests for irritation.
## 8. Summary of Non-clinical Performance Tests
- ANSI AAMI ES60601-1: 2005&A1:2012 &A2:2021: Medical Electrical Equipment - Part 1: General Requirement for Basic Safety and Essential Performance;
- IEC 60601-1-2: 2014+A1:2020, Medical Electrical Equipment - Part 1-2: General Requirement for Basic Safety and Essential Performance- Collateral Standard: Electromagnetic Disturbances- Requirements and Tests;
- IEC 60601-2-22:2019, Medical electrical equipment - Part 2-22: Particular requirements for basic safety and essential performance of surgical cosmetic therapeutic and diagnostic laser equipment.
- IEC 60825-1:2014, Safety of laser products - Part 1: Equipment classification and requirements
## 9. Conclusion
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510(K) Summary # K250465
From the comparison above, we have demonstrated that the CO2 Laser Machine (Model: Lume) has the same intended use, similar technological characteristics as the predicate devices. Moreover, non-clinical testing contained in this submission demonstrated that any difference in their technological characteristics does not raise any new issues of safety and effectiveness.
In conclusion, the CO2 Laser Machine (Model: Lume) is substantial equivalent to the predicate devices.
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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.
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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.
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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.
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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.
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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.
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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.