The HemoScreen is a point-of-care (POC) automated hematology analyzer intended for the enumeration and classification of the following parameters in capillary and venous whole blood (K2EDTA anticoagulated): WBC, RBC, HGB, HCT, MCV, MCH, MCHC, RDW, PLT, MPV, NEUT%, NEUT#, LYMP%, LYMP#, MONO%, MONO#, EO%, EO#, BASO%, and BASO#. The HemoScreen is for in vitro diagnostic use in clinical laboratories and/or POC settings for adults and children at least 2 years of age.
Device Story
HemoScreen is a tabletop POC automated hematology analyzer; uses viscoelastic focusing to align cells in a microfluidic cartridge; captures high-resolution microscopic images of flowing cells; utilizes machine vision algorithms to differentiate and count cell types; WBCs stained in-cartridge for subtype differentiation; HGB calculated from optical density of individual cells. System includes reader, disposable cartridge with reagents, and sampler. Operated by clinicians in labs or POC settings. Provides quantitative CBC and 5-part differential results. Enables rapid hematological assessment to support clinical decision-making.
Clinical Evidence
Bench-only study. Method comparison conducted with 232 residual venous whole blood samples against Sysmex XN-Series analyzers. Correlation coefficients (r) for WBC and PLT were 0.995 and 0.991, respectively. Passing-Bablok regression confirmed performance within acceptance criteria across extended ranges. LoB, LoD, and LoQ determined per CLSI EP17-A2.
Technological Characteristics
Tabletop automated hematology analyzer using viscoelastic focusing for cell alignment. Employs microfluidic chambers and high-resolution microscopic imaging. Reagents contained within disposable cartridges. Connectivity via USB export and printer interface. Factory calibrated. Software-driven analysis of stained cells. Dimensions/form factor: tabletop reader.
Indications for Use
Indicated for adults and children ≥2 years for enumeration and classification of CBC parameters and 5-part leukocyte differential in capillary or venous K2EDTA whole blood.
Regulatory Classification
Identification
An automated differential cell counter is a device used to identify one or more of the formed elements of the blood. The device may also have the capability to flag, count, or classify immature or abnormal hematopoietic cells of the blood, bone marrow, or other body fluids. These devices may combine an electronic particle counting method, optical method, or a flow cytometric method utilizing monoclonal CD (cluster designation) markers. The device includes accessory CD markers.
Special Controls
*Classification.* Class II (special controls). The special control for this device is the FDA document entitled “Class II Special Controls Guidance Document: Premarket Notifications for Automated Differential Cell Counters for Immature or Abnormal Blood Cells; Final Guidance for Industry and FDA.”
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FDA
U.S. FOOD & DRUG
ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
INSTRUMENT ONLY
## I Background Information:
A 510(k) Number
K240636
B Applicant
PixCell Medical Technologies
C Proprietary and Established Names
HemoScreen Hematology Analyzer
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| GKZ | Class II | 21 CFR 864.5220 - Automated Differential Cell Counter | HE - Hematology |
## II Submission/Device Overview:
A Purpose for Submission:
The purpose of the submission is to extend the analytical measurement range for platelets (PLT) and white blood cell (WBC) counts
B Type of Test:
Quantitative complete blood count with 5-part leukocyte differential: Red Blood Cells (RBC), White Blood Cells (WBC), Platelets (PLT), Hemoglobin (HGB), Hematocrit (HCT), Mean Corpuscular Volume (MCV), Mean Cell Hemoglobin (MCH), Mean Cell Hemoglobin Concentration (MCHC), Red Blood Cell Distribution Width (RDW), Mean Platelets Volume (MPV), Neutrophils (NEUT; #/%), Monocytes (MONO; #/%), Lymphocytes (LYMP; #/%), Eosinophils (EO; #/% and Basophils (BASO; #/%)
## III Intended Use/Indications for Use:
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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K240636 - Page 2 of 8
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
The HemoScreen is a point-of-care (POC) automated hematology analyzer intended for the enumeration and classification of the following parameters in capillary and venous whole blood (K2EDTA anticoagulated): WBC, RBC, HGB, HCT, MCV, MCH, MCHC, RDW, PLT, MPV, NEUT%, NEUT#, LYMP%, LYMP#, MONO%, MONO#, EO%, EO#, BASO%, and BASO#. The HemoScreen is for in vitro diagnostic use in clinical laboratories and/or POC settings for adults and children at least 2 years of age.
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
IV Device/System Characteristics:
A Device Description:
The HemoScreen is a point-of-care (POC), automated hematology analyzer that provides results for complete blood count (CBC) parameters and a 5-part leukocyte differential, in capillary and venous whole blood samples. The HemoScreen system is a tabletop device and is comprised of the following components: HemoScreen reader (analyzer plus software), cartridge with preloaded reagents, blood collection sampler, on-board internal quality control, and external liquid quality controls.
The cartridge module comprises reagent compartments, a microfluidic chip and a translucent measurement portion. The reagents in the cartridge enable viscoelastic focusing, lysis of RBC, and WBC staining. In addition to the cartridge, the system includes a disposable sampler, which is used to collect the blood sample and then transfer it to the cartridge.
The HemoScreen provides the following blood count parameters: red blood cells (RBC), white blood cells (WBC), platelets (PLT), hemoglobin (HGB), hematocrit (HCT), mean corpuscular (erythrocyte) volume (MCV), mean cell (erythrocyte) hemoglobin (MCH), mean cell (erythrocyte) hemoglobin concentration (MCHC), red blood cell distribution width (RDW), mean platelets volume (MPV), neutrophils (NEUT; #/%), monocytes (MONO; #/%), lymphocytes (LYMP; #/%), eosinophils (EO; #/% ) and basophiles (BASO; #/%). Of these, RBC, WBC, PLT, MCH, MCV, RDW, MPV, NEUT%, MONO%, LYMP%, EO%, and BASO% are quantitated by direct measurement, and HCT, HGB, MCHC, NEUT#, MONO#, LYMPH#, EO#, and BASO# are calculated from the direct measurements.
B Instrument Description Information:
1. Instrument Name:
HemoScreen Hematology Analyzer
2. Specimen Identification:
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Specimen identification is performed by manual keyboard entry or use of a barcode reader.
# 3. Specimen Sampling and Handling:
HemoScreen can be used with either capillary or venous anticoagulated whole blood, collected in K2EDTA. Capillary blood sampling is performed by routine fingertip puncture using a standard lancet. The blood is collected in an K2EDTA microtube (indirect sampling) which is then taken into Sampler or directly from fingertip drawn into Sampler (direct sampling). Venous blood, thoroughly mixed and at room temperature, can be used as well.
# 4. Calibration:
Factory calibration. The calibration of HemoScreen is traceable to the reference methods described in CLSI H26-A2.
# 5. Quality Control:
The HemoScreen system includes both on-board internal and external quality controls. Internal quality control includes built-in self-tests, whereby the software verifies performance of the optics, reagent mixing, and instrument pneumatics. Every time the analyzer is turned on, and before each measurement, it automatically verifies conformance to the measurement specifications. Furthermore, internal self-testing occurs after the cartridge has been inserted, thus validating the integrity of the disposable unit. The intensity and spectrum of all illumination sources are tested using corresponding sensors, and the optical properties of each cartridge are inspected automatically prior to each test.
Liquid Quality Controls (PIX-CBC): PIX-CBC Hematology Controls, 3-level commercial liquid quality controls are used to cover all HemoScreen parameters. CBC-PIX is a reagent composed of human erythrocytes and mammalian leukocytes and platelets suspended in a plasma-like fluid with preservatives. PIX-CBC whole blood controls (Cat No. PIX002) are produced by R&D Systems, a Bio-Techne brand, Minneapolis, MN.
# V Substantial Equivalence Information:
# A Predicate Device Name(s):
HemoScreen Hematology Analyzer
# B Predicate 510(k) Number(s):
K222148
# C Comparison with Predicate(s):
| Device & Predicate Device(s): | K240636 | K222148 |
| --- | --- | --- |
| Device Trade Name | HemoScreen Hematology Analyzer | Same |
| General Device Characteristic Similarities | | |
K240636 - Page 3 of 8
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| Intended Use/Indications For Use | The HemoScreen is a point-of-care (POC) automated hematology analyzer intended for the enumeration and classification of the following parameters in capillary and venous whole blood (K_{2}EDTA anticoagulated): WBC, RBC, HGB, HCT, MCV, MCH, MCHC, RDW, PLT, MPV, NEUT%, NEUT#, LYMP%, LYMP#, MONO%, MONO#, EO%, EO#, BASO%, and BASO#. The HemoScreen is for in vitro diagnostic use in clinical laboratories and/or POC settings for adults and children at least 2 years of age. | Same |
| --- | --- | --- |
| Parameters Measured | Red blood cells (RBC), White blood cells (WBC), Platelets (PLT), Hemoglobin (HGB), Hematocrit (HCT), Mean Corpuscular (erythrocyte) Volume (MCV), Mean Cell (erythrocyte) Hemoglobin (MCH), Mean cell (erythrocyte) Hemoglobin Concentration (MCHC), Red blood cell Distribution width (RDW)-CV Mean Platelets Volume (MPV), Neutrophils (NEUT; #/%), Monocytes (MONO; #/%), Lymphocytes (LYMP; #/%), Eosinophils (EO; #/%) and Basophiles (BASO; #/%) | Same |
| Throughput | 10 samples/hour | Same |
| Test Principle | The HemoScreen uses a novel focusing method called viscoelastic focusing which causes the cells to perfectly align into a plane. High resolution microscopic images are taken of the flowing cells. Each image is analyzed using machine vision algorithms and the different cell types are differentiated and counted. WBCs are stained prior to analysis so as to enable differentiation between their subtypes and abnormal cells. Hb is calculated based on the optical density measured on intact individual | Same |
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| | cells. | |
| --- | --- | --- |
| Calibration | Factory calibrated | Same |
| Sample Type | Anticoagulated whole blood | Same |
| Sample Type- venous | K_{2}EDTA anticoagulated whole blood | Same |
| Sample Type-fingerstick | Direct and indirect
Direct: Capillary blood from fingertip drawn directly into Sampler.
Indirect: Capillary blood from fingertip delivered to microtainer, then transferred into Sampler | Same |
| Sample Volume | 40 μL | Same |
| General Device Characteristic Differences | | |
| Analytical Measuring Range (AMR) for WBC and PLT | WBC: 0.25–95 x 10^{3}/μL
PLT: 7–988 x 10^{3}/μL | WBC: 0.5–80 x 10^{3}/μL
PLT: 20–800 x 10^{3}/μL |
| Software Version | 2.1.1 | 2.0.8 |
VI Standards/Guidance Documents Referenced:
CLSI EP06, 2nd Ed: Evaluation of Linearity of Quantitative Measurement Procedures; Approved guideline – Second edition, 2020
CLSI EP17-A2: Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved guideline, 2012
VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
Please refer to K222148 and K180020.
2. Linearity:
The study was performed based on the recommendations of CLSI EP06, 2nd Edition. Linearity was defined for WBC and PLT by using serial dilutions prepared from the commercial linearity controls (PIX-LINE). Samples with ten levels were measured in seven replicates on a single HemoScreen analyzer. Results were examined for outliers and other potential problematic values. Linearity analysis was based on expected values at each sample
K240636 - Page 5 of 8
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level. WBC and PLT parameters were confirmed to be linear across all tested points across the measuring ranges. The new ranges are presented in the table below.
| Measurand | Linearity | Analytical Measuring Range |
| --- | --- | --- |
| WBC (103/μL) | 0.25 – 95.0 | 0.25 – 95.0 |
| PLT (103/μL) | 7.0 – 988.0 | 7.0 – 988.0 |
# 3. Analytical Specificity/Interference:
Please refer to K180020.
# 4. Accuracy (Instrument):
A method comparison study was conducted at one site to assess the performance of the HemoScreen compared to Sysmex XN-Series (XN-10, XN-20) Automated Hematology Analyzers (K112605) with the extended PLT and WBC ranges. A total of 232 residual whole blood venous samples that span the HemoScreen extended linear ranges and medical decision points were selected. The data were evaluated by Passing-Bablok regression and Pearson's correlation for all 20 parameters. For the regression analysis, the $95\%$ confidence intervals (CI) and predicted bias/difference for each parameter were determined and the summarized data are provided below. All results were within the pre-defined acceptance criteria.
Passing-Bablok regression and Pearson's correlation of HemoScreen vs. Sysmex XN
| Parameter | Result Range | Correlation Coefficient (r) | Intercept (95% CI) | Slope (95% CI) |
| --- | --- | --- | --- | --- |
| WBC (103/μL) | 0.29–94.77 | 0.995 | -0.035 (-0.114, 0.027) | 1.001 (0.992, 1.012) |
| RBC (106/μL) | 1.91–7.13 | 0.997 | 0.023 (-0.015, 0.063) | 0.998 (0.988, 1.009) |
| HGB (g/dL) | 5.65–20.72 | 0.995 | -0.006 (-0.153, 0.137) | 0.993 (0.982, 1.005) |
| HCT (%) | 16.42–62.73 | 0.990 | -0.180 (-0.816, 0.385) | 1.006 (0.991, 1.022) |
| MCV (fL) | 53.33–111.47 | 0.928 | 1.818 (-2.268, 6.512) | 0.979 (0.927, 1.025) |
| MCH (pg) | 16.94–37.24 | 0.970 | 0.970 (0.428, 1.476) | 0.953 (0.936, 0.973) |
| MCHC (g/dL) | 30.90–36.06 | 0.654 | 10.582 (8.171, 13.072) | 0.677 (0.603, 0.748) |
| RDW (%) | 11.32–27.34 | 0.911 | 0.411 (-0.508, 1.273) | 0.955 (0.889, 1.025) |
| PLT (103/μL) | 9.25–930.66 | 0.991 | 0.317 (-3.176, 3.524) | 0.985 (0.966, 1.004) |
| MPV (fL) | 9.27–14.46 | 0.825 | -0.432 (-1.329, 0.505) | 1.055 (0.967, 1.138) |
| NEUT # (103/μL) | 0.00–83.11 | 0.994 | -0.042 (-0.130, 0.011) | 1.017 (0.999, 1.033) |
| RBC (106/μL) | 0.00–10.00 | 0.999 | 0.000 (-0.000, 0.000) | 0.999 (0.998, 1.000) |
K240636 - Page 6 of 8
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| Parameter | Result Range | Correlation Coefficient (r) | Intercept (95% CI) | Slope (95% CI) |
| --- | --- | --- | --- | --- |
| LYMP # (103/μL) | 0.01–72.19 | 0.947 | 0.011 (-0.025, 0.053) | 0.998 (0.968, 1.033) |
| MONO # (103/μL) | 0.01–9.48 | 0.930 | -0.006 (-0.031, 0.007) | 1.006 (0.964, 1.056) |
| EO # (103/μL) | 0.00–4.10 | 0.946 | 0.008 (0.004, 0.012) | 0.998 (0.966, 1.031) |
| BASO # (103/μL) | 0.00–0.77 | 0.415 | -0.006 (-0.016, -0.001) | 0.758 (0.593, 0.996) |
| NEUT (%) | 0.90–98.20 | 0.961 | 0.158 (-1.138, 1.465) | 1.012 (0.991, 1.033) |
| LYMP (%) | 1.30–93.10 | 0.980 | 0.717 (0.395, 1.139) | 0.986 (0.967, 1.005) |
| MONO (%) | 0.10–45.80 | 0.877 | -0.146 (-0.581, 0.255) | 1.005 (0.947, 1.061) |
| EO (%) | 0.00–34.10 | 0.855 | 0.087 (0.032, 0.100) | 1.016 (1.000, 1.046) |
| BASO (%) | 0.00–6.50 | 0.277 | -0.076 (-0.193, -0.020) | 0.764 (0.628, 0.967) |
# 5. Carry-Over:
Not applicable
# B Other Supportive Instrument Performance Characteristics Data:
Limits of Detection, Blank, and Quantitation (LoD, LoB, and LoQ)
Five residual normal venous blood samples (from both morphological and cell distribution aspects) were centrifuged to deplete the plasma supernatant of RBCs, WBCs and PLTs. Each of the five plasma samples was assayed six times on two HemoScreen devices for a total of 60 measurements per parameter, using three cartridge and sampler lots. The limit of blank was determined by the 95th percentile of the distribution of the study variable.
To determine the LoD and LoQ for WBC and PLT, five low level samples were derived from native whole blood. Each of the five plasma samples was assayed six times on two HemoScreen devices for a total of 60 measurements per parameter, using three cartridge and sampler lots. The results for WBC and PLT were collected and used further for statistical analysis. The LoDs and LoQs were calculated in accordance with CLSI EP17-A2 using the parametric option.
Summary LoB, LoD and LoQ for WBC and PLT
| Measurand | LoB | LoD | LoQ |
| --- | --- | --- | --- |
| WBC (x103/μL) | 0.12 | 0.23 | 0.23 |
| PLT (x103/μL) | 0.52 | 2.73 | 2.73 |
K240636 - Page 7 of 8
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VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K240636 - Page 8 of 8
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.