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Shear a full plate of NGS libraries in one run — and prep them without re-checking fragment size.

PIXUL is a 96-well multi-sample sonicator for NGS library prep. Uniform shearing across all 96 wells — on standard, off-the-shelf plates, ready to run in under five minutes.

No edge effects
Uniform well to well, prep without re-checking
No degassing
Load the plate and start
Standard plates
Low cost consumable

The DNA shearing your lab runs by the plate.

Four high-throughput shearing workflows where mechanical shearing stays the qualified choice — and enzymatic shortcuts introduce bias you can't model out.

gDNA library prep

High-throughput gDNA shearing for NGS

Your sequencer and library-prep robots run by the plate. The shearing step between them still goes one sample at a time on a probe — or locks you into proprietary consumables to keep pace.

Shear a full plate of genomic DNA to NGS-ready fragment size in one run, on standard plates — uniform well to well, so the library goes straight to prep without a fragment-size check.

FFPE DNA

FFPE-derived DNA for cancer NGS panels

FFPE blocks vary by age and fixation protocol. Cross-linked DNA resists uniform fragmentation — and multi-year oncology studies need consistency across cohorts pulled from blocks of any vintage.

Mechanical megasonication shears cross-linked FFPE DNA without the sequence bias enzymatic methods introduce. Uniform fragment size across all 96 wells — archival block to archival block, cohort to cohort.

Metagenomics

Shotgun metagenomic sequencing prep

Enzymatic fragmentation introduces GC bias — high-GC organisms drop out of the dataset entirely. Probe sonication is sequence-independent but varies sample to sample across a long run.

Sequence-independent mechanical shearing preserves GC representation across the whole community. Uniform coverage, reproducible across multi-week studies — no organism lost to a chemistry artifact.

cfDNA controls

Germline reference + cfDNA control prep

cfDNA assay validation needs high-molecular-weight germline DNA sheared consistently as controls. Running the control arm on a separate instrument from the primary cfDNA workflow doubles the variability sources.

Shear germline reference and HMW-DNA controls in the same 96-well run — consistent fragment size across the entire validation cohort, one instrument for the control arm.

Your library prep is plate-based and runs by the dozen. Your shearing step is the one place you still go one sample at a time — or pay proprietary-consumable prices to keep up.

Low operating cost. Consistency you can prep against. Ready in five minutes.

Standard plates
96-well polystyrene
  • The plates your lab already stocks — not a proprietary microtube or an acoustic-coated strip.
  • Consumable cost stays flat as your cohorts scale, so the recharge math holds.
  • For a high-throughput lab sonicating plates daily, this is the number that decides it.
Prep direct
no fragment-size re-check
  • Two transducers per column — no edge effects, reproducible well to well and plate to plate.
  • Labs trust a set run to land in NGS range and prep the library straight after, instead of QC-ing fragment size on each batch.
  • Validated across all 96 wells (Nucleic Acids Research, 2019).
<5 min
no degassing, hard to break
  • Load the plate and start in under five minutes — no degassing wait.
  • Touchscreen, tabletop, integrated chiller, no external computer.
  • Robust enough to run plate after plate all day, without the breakdowns that take a probe or a focused-ultrasonication system offline.

Where PIXUL stands alone.

Sequence-independent, bias-free shearing

0 GC bias
Mechanical megasonication — not enzymatic

Sequence-independent fragmentation keeps GC representation intact across the community — qualified for FFPE, metagenomics, and fragmentomics where enzymatic methods introduce bias.

View publications

Different conditions, same plate

12 programs
One program per column

Run different sample types or run-times in different columns of the same plate — dial in a heterogeneous cohort in a single run, instead of one uniform batch at a time.

Application note

Questions core facility teams ask before they evaluate.

How does PIXUL compare to focused-ultrasonication alternatives?
Focused-ultrasonication systems are the precision instrument — best in class for sub-200 bp shearing and tunable acoustic focusing. Newer-generation systems also add robot-grab automation: the lid auto-opens for liquid-handling hand-off. Honest acknowledgment: PIXUL does not match that robot-grab today. For cores that have gone fully end-to-end automated with liquid-handling integration of every step, those systems may be the right answer. But total automation isn't always the goal — sometimes a manual plate transfer between lanes is an acceptable break in the workflow, and most cores operate exactly this way. PIXUL's position is for cores where automation runs up to and from the plate, with a brief manual hand-off between steps. PIXUL's 96-well parallel processing absorbs the high-throughput shearing workload while the focused-ultrasonication system stays for the niche short-fragment jobs that need its precision.
What about budget-tier 96-well plate sonicators?
Low-frequency contact-ultrasonic plate sonicators are real budget-tier competition. The technical difference: those systems use 20 kHz contact ultrasonic; PIXUL uses 2 MHz megasonication with two transducers per column. PIXUL has the published 96-well consistency data — Nucleic Acids Research 2019: gDNA 307 ± 35 bp across all 96 wells; Genome Research 2025: 95–99% ChIP-seq peak-calling concordance head-to-head — that 20 kHz contact-ultrasonic systems struggle to match. For methods-section-rigorous buyers, the published validation depth is the deciding factor.
How does PIXUL compare to bead-mill homogenizers?
Bead mills homogenize hard tissue effectively, but they introduce bead carryover into NGS libraries — sequencing reads contaminated by bead fragments — and they cannot shear chromatin at the consistency NGS library prep requires. For cores serving plant, microbial, or hard-tissue users, a 96-well bead-mill homogenizer may be complementary as a pre-lysis step before PIXUL acoustic finishing. For FFPE, metagenomics, ChIP-seq chromatin, and fragmentomics, bead carryover is disqualifying.
What about enzymatic fragmentation methods?
Enzymatic fragmentation is fine for standard short-read whole-genome sequencing. But it introduces sequence-dependent cutting bias — disqualifying for FFPE cross-linked material, shotgun metagenomics where GC representation matters, cfDNA fragmentomics where the fragment distribution itself is the signal, and any application where the native fragment distribution carries biological meaning. Mechanical megasonication is the only qualified path for those workflows. This is the basis of the bifurcation strategy: route the easy lane through enzymatic methods, route the hard lane through PIXUL.
How does the consumable cost compare to focused-ultrasonication?
PIXUL runs on standard, off-the-shelf 96-well polystyrene plates — no proprietary microtube SKU, no acoustic-coated consumable strips. Focused-ultrasonication systems lock you into proprietary consumables priced per plate. At cohort scale — hundreds to thousands of samples per project — open-format plate economics are a material line item on a recharge model, and they do not climb as cohorts grow. Most cores keep their focused-ultrasonication system for the precision niche and route high-volume production shearing through PIXUL; the two instruments partition by application.
What's the fragment-size floor?
Approximately 350 bp on average; 200 bp is the extreme lowest limit. PIXUL is not for sub-nucleosomal cfDNA shearing — mononucleosomal cfDNA is around 167 bp; for that, use a focused-ultrasonication tool. PIXUL's value is high-throughput workflows in the 200+ bp range: gDNA, FFPE, shotgun metagenomics, ChIP-seq chromatin, matched cfDNA controls, and high-molecular-weight germline standardization.

Skip the brochure tour.
Talk to a PIXUL specialist.

A 30-minute working call with the genomics applications team. Walk through your hardest cohort — FFPE, metagenomic, or a high-volume gDNA run — and hear exactly where PIXUL fits your library-prep workflow, and where it doesn't.

Speak to a specialist