FASTAseq S
FASTASeq S is an ultra-high-speed sequencer, the platform delivers results from library preparation to data output in: 2 hours for SE50, 3 hours for SE100, and 6.8 hours for PE150 runs. The FASTASeq S integrates an ultra-high-speed fluid system and a new enzyme reaction system, dramatically accelerating sequencing cycle efficiency. Enhanced by an AI-powered base-calling algorithm, the platform achieves exceptional signal recognition accuracy and speed. Optimized flow cell surface amplification technology further ensures high-quality data output——even with nanogram-level trace samples.
* For Research Use Only. Not intended for use in diagnostic or clinical procedures. Not available in all countries.
Swift
- 2.0 Hrs SE50, 3.0 Hrs SE100, 6.8 Hrs PE150
- Lightning chemistry plus reduce cycle time 50%
Sample
- User-friendly Interface
- 7 minutes NGS run preparation
Saving
- Reduce reagent consumption 70%
- Sequencing on demand
Social Responsible
- Smart waste sorting and processing design
- RT shipping and stroage for load-and-go reagent
| Flow cell type | Lane | Throughput （Reads/FC） |
Specification | Read Length | Data Output | Q30 | TAT |
| FCL | 1 | 20M | SE100-D | SE50 | 1 Gb | ≥90% | ~2.0 hrs |
| SE100-D | SE100 | 2 Gb | ~3.0 hrs | ||||
| 100 cycles | PE50 | 2 Gb | ~4.0 hrs | ||||
| 300 cycles | PE150 | 6 Gb | ≥90% | ~6.8 hrs | |||
| 400 cycles | SE400 | 8 Gb | ≥80% | ~16 hrs | |||
| FCM | 1 | 40M | SE100-D | SE50 | 2 Gb | ≥90% | ~2.5 hrs |
| SE100-D | SE100 | 4 Gb | ~3.5 hrs | ||||
| 100 cycles | PE50 | 4 Gb | ~4.5 hrs | ||||
| 300 cycles | PE150 | 12 Gb | ≥90% | ~7.5 hrs | |||
| 400 cycles | SE400 | 16 Gb | ≥80% | ~16 hrs | |||
| FCX | 1 | 40M | 600 cycles | PE300 | 24 Gb | ≥85% | ~24 hrs |
| FCH | 1 | 80M | SE100-D | SE50 | 4 Gb | ≥90% | ~3.5 hrs |
| SE100-D | SE100 | 8 Gb | ~4.5 hrs | ||||
| 100 cycles | PE50 | 8 Gb | ~5.5 hrs | ||||
| 300 cycles | PE150 | 24 Gb | ≥90% | ~12 hrs |
|
Application |
Read length |
Data/sample |
FCL – 20M |
FCM /FCX – 40M |
FCH – 80M |
|
Metagenomics |
|
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|
mNGS (based on probe capture) |
SE50 |
0.5 M Reads/sample |
20 |
40 |
80 |
|
Microbial WGS |
PE150 |
1 Gb/sample |
6 |
12 |
24 |
|
16S amplicon sequencing |
PE300 |
50-100K reads/sample |
/ |
200-400 |
/ |
|
Targeted amplicon sequencing |
PE300 |
50-100K reads/sample |
/ |
200-400 |
/ |
|
Shallow shotgun metagenomics |
PE150 |
4M Reads/sample |
5 |
10 |
20 |
|
Shortgun metagenomics |
PE150 |
20M Reads/sample |
1 |
2 |
4 |
|
Pathogen detection |
|
||||
|
Respiratory Pathogen |
SE50 |
0.5 M Reads/sample |
20 |
40 |
80 |
|
TB-tNGS |
PE100 |
2 M Reads/sample |
5 |
10 |
20 |
|
Oncology |
|
||||
|
Small Oncology Panel (Tissue) |
PE150 |
1 Gb/sample |
6 |
12 |
24 |
|
Small Oncology Panel (Plasma) |
PE150 |
7Gb/samples |
1 |
2 |
4 |
|
Small Oncology Targeted RNA panel |
PE150 |
1 Gb/sample |
6 |
12 |
24 |
|
Genetics |
|
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|
Carrier Screening |
PE150 |
1.2Gb/sample |
10 |
20 |
40 |
|
WES |
PE150 |
12 Gb/sample |
0 |
1 |
2 |
|
HLA Typing |
PE150 |
0.6 Gb/sample |
20 |
40 |
80 |
|
PGT-A |
SE100 |
3.5 M reads/sample |
5 |
10 |
20 |
|
NIPT |
SE100 |
3.5 M reads/sample |
5 |
10 |
20 |
|
Transcriptome |
|
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|
Bacterial mRNA-Seq |
PE150 |
2 Gb/sample |
3 |
6 |
12 |
|
Human mRNA-Seq |
PE150 |
6 Gb/sample |
1 |
2 |
4 |
|
Human Total RNA Seq |
PE150 |
10 Gb/sample |
0 |
1 |
2 |
|
Bacterial total RNA-Seq |
PE150 |
6 Gb/sample |
1 |
2 |
4 |
|
Quality control |
|
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|
CRISPR amplicon QC (Gene editing) |
PE150 |
0.5M reads/sample |
20 |
40 |
80 |
|
Off-target panel QC (Gene editing) |
PE150 |
5M Reads/sample |
4 |
8 |
16 |
|
NGS Library QC |
SE100 |
0.1 Gb/sample |
60 |
120 |
240 |
| Dimensions （W × D × H） | 626 mm × 580 mm× 575 mm |
| Weight | about 100 kg |
| Power requirements | ≤ 1000 VA |
| 200-240 V~, 50/60 Hz | |
| Operating environment | Temperature: 19 ℃ – 30 ℃ |
| non-condensing:20‒80% relative humidity | |
| Altitude:≤3000 m | |
| Instrument control computer | CPU: Gen Inter(R) Core(TM) i7-13700T |
| Memory: 64 GB | |
| Hard drive: 4 TB | |
| Operating system: Windows 10 |
| Description of Read Header | |
| Parameter | Description |
| <SN> | Serial number of the instrument. |
| <Barcodescore> | Numbers 0 to 9 are used to evaluate the sequencing quality value of the index sequence. The higher the value, the better the quality. |
| <Flowcell ID> | The ID of the sequence chip. |
| <Lane> | Number of the lane, it can be L00、L01、L02、L03、L04， etc. L00 indicates that all lanes are merged. |
| <FOV> | Coordinate of the FOV. |
| <X> | X-coordinate of the cluster. |
| <Y> | Y-coordinate of the cluster. |
| <read1/2> | Read 1 or Read 2. |
| <N> | Default character. |
| <0> | Default character. |
| <Index> | The sequence of the index, if it is a combination of index1 and index2, it should be concatenated with symbol”+”. |
| Note：@<SN>:<Barcodescore>:<Flowcell ID>:<Lane>:<FOV>:<X>:<Y> <read1/2>:<N>:<0>:<Index> The header identifier is represented by the symbol “@”, while the parameter items are differentiated using the symbol “:”. |
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